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Божественная природа души
Если страсть овладевает тобою, то помни, что твое страстное желание не составляет твоей души, а только темный налет, временно скрывающий от тебя ее истинные свойства.
1
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Будь светильником для самого себя. Будь убежищем для себя. Держись света твоего светильника и не ищи другого прибежища.
Буддийская Сутта
2
...
Душу можно сравнить с прозрачным шаром, освещенным изнутри собственным светом своим. Этот огонь есть для нее не только источник всякого света и истины, но и освещает ею все внешнее. В таком состоянии она свободна и счастлива, только пристрастие к внешнему может взволновать и омрачить ее гладкую поверхность, причиняя преломление и ущерб света.
Марк Аврелий
3
...
Во всех людях есть чувство милосердия, стыда и ненависти к пороку. Каждый может посредством самовоспитания возрастить эти чувства или дать им завянуть. Чувства эти составляют часть самого человека, так же как и члены его тела. И чувства эти так же, как и члены тела, могут быть воспитаны. На горе Никоншау растут прекрасные деревья. Когда их стволы срезаны, вырастают постоянно новые побеги; если пустить по ним скотину, то гора сделается голой. Оголение горы не свойственно ей. Так же и развращение души: если мы допустим низкие страсти поедать благородные побеги милосердия, стыда, ненависти к пороку в нашем сердце, разве мы скажем вследствие этого, что всех этих чувств нет в сердце человека? Знать закон Неба – значит развивать высшие свойства нашей природы.
Менций
4
...
В тебе самом, внутри тебя источник добра. Он не перестанет журчать по мере того, как ты будешь раскапывать его.
Марк Аврелий
5
...
Душа человека есть зеркало, в котором можно видеть образ Божественного Разума.
Джон Рёскин
__________________________________
Как только почувствуешь вожделение страсти, вызови в себе сознание своей божественности. Как только почувствуешь затемнение своей божественности, знай, что тобой обладают страсти – борись с ними.
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{"poster":"Rónny","date":"2016-10-30T08:37:27.033+0000","title":"Dia ADC sucht Team fürs Turnier","subforum":"Battlegrounds-Turniere","up_votes":1,"down_votes":1,"body":"Hi zusammen,\r\n\r\nich (Adc Main) suche ein Team für das Turnier und eventuell darüber hinaus. Bitte nur Platin und höher. Meldet euch gerne bei mir ingame. \r\n\r\nSchönes Wochenende und bis bald,\r\nRonny","replies":[]} |
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{"artist": "Phora", "songs": [{"album": "Bury Me With Dead Roses", "title": "Just You", "image": "https://images.genius.com/a8cc7465be3e2974d9695249de544cbe.1000x1000x1.jpg", "lyrics": "[Pre-Chorus]\nYou know I wanna be the person that you could run to\nAnytime, you know, you could come through\nTake your time, I ain't tryna rush you\nNever question you, know it's just you\n\n[Chorus]\nIt's just you, yeah\nIt's just you, it's just you, yeah\nIt's just you, it's just you, uh\nOh, yeah\nYeah, yeah, yeah\nOh, yeah\nYeah\n\n[Verse]\n'Cause I be gettin' high when I'm low, yeah\nThese feelings, I don't show, yeah\nSometimes I don't know where to go, oh, yeah\nBut tell me what you need, tell me what you need\nI'll do anything for you always\nI know that you love all the small things\n'Cause I ain't never met nobody like you\nI couldn't run away if I tried to\nYou should hit my line, you should slide through, yeah\nBaby, you should slide through, oh, yeah, yeah, yeah\n\n[Pre-Chorus]\nYou know I wanna be the person that you could run to\nAnytime, you know, you could come through\nTake your time, I ain't tryna rush you\nNever question you, know it's just you\n\n[Chorus]\nIt's just you, yeah\nIt's just you, it's just you, yeah\nIt's just you, it's just you, uh\nOh, yeah\nYeah, yeah, yeah\nOh, yeah\nYeah", "year": "2019-07-26"}]} |
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{"poster":"Worst Sword","date":"2018-01-03T23:14:10.156+0000","title":"Change ScreenShot binding","subforum":"[ARCHIVED] Help & Support","up_votes":1,"down_votes":0,"body":"Trying to change keybinding for screenshots. Previously changed it to -. Now, I delete my input.ini file, create a new one with these two lines \r\n[GameEvents]\r\nevtMakeScreenShot = [1]\r\n\r\nand the binding is still set to -. Restarted lol as well. Help?","replies":[{"poster":"Porocles","date":"2018-01-03T23:55:31.955+0000","up_votes":2,"down_votes":0,"body":"The input file pretty much absorbs info from your persisted settings. Is it possible to apply it in persistedsettings instead? We don't support modifications, so I'm going on a big guess here.\n\nIf you run into issues, you may need to reset your config before trying again:\n\nLog into the game client.\nNavigate to C:\\Riot Games\\League of Legends\\Config\nDelete the file named **game.cfg** and **persistedsettings.json**\nGo into a custom game and verify that settings have saved properly. Leave game to sync settings.","replies":[{"poster":"Worst Sword","date":"2018-01-04T19:30:19.078+0000","up_votes":2,"down_votes":0,"body":"Yep, persistedsettings.json did it. Thanks!","replies":[]}]}]} |
{"pmid":32387006,"title":"SARS CoV-2 (COVID-19): lessons to be learned by Brazilian Physical Therapists.","text":["SARS CoV-2 (COVID-19): lessons to be learned by Brazilian Physical Therapists.","Braz J Phys Ther","Pinto, Thiago Fernandes","Carvalho, Celso R F de","32387006"],"journal":"Braz J Phys Ther","authors":["Pinto, Thiago Fernandes","Carvalho, Celso R F de"],"date":"2020-05-11T11:00:00Z","year":2020,"_id":"32387006","source":"PubMed","week":"202020|May 11 - May 17","doi":"10.1016/j.bjpt.2020.04.004","locations":["Brazilian"],"countries":["Brazil"],"countries_codes":["BRA|Brazil"],"topics":["Prevention"],"weight":1,"_version_":1666428892548694016,"score":9.490897,"similar":[{"pmid":32302407,"pmcid":"PMC7188113","title":"Impact of COVID-19 on Physical Therapist Practice in Portugal.","text":["Impact of COVID-19 on Physical Therapist Practice in Portugal.","Phys Ther","Alpalhao, Vanessa","Alpalhao, Miguel","32302407"],"journal":"Phys Ther","authors":["Alpalhao, Vanessa","Alpalhao, Miguel"],"date":"2020-04-18T11:00:00Z","year":2020,"_id":"32302407","source":"PubMed","week":"202016|Apr 13 - Apr 19","doi":"10.1093/ptj/pzaa071","locations":["Portugal"],"countries":["Portugal"],"countries_codes":["PRT|Portugal"],"weight":0,"_version_":1666138494863409153,"score":61.137497},{"pmid":32280973,"pmcid":"PMC7184495","title":"Italian Physical Therapists' Response to the Novel COVID-19 Emergency.","text":["Italian Physical Therapists' Response to the Novel COVID-19 Emergency.","Phys Ther","Pedersini, Paolo","Corbellini, Camilo","Villafane, Jorge Hugo","32280973"],"journal":"Phys Ther","authors":["Pedersini, Paolo","Corbellini, Camilo","Villafane, Jorge Hugo"],"date":"2020-04-14T11:00:00Z","year":2020,"_id":"32280973","source":"PubMed","week":"202016|Apr 13 - Apr 19","doi":"10.1093/ptj/pzaa060","keywords":["covid-19","italy","physical therapy","physiotherapy","rehabilitation"],"locations":["Italian"],"countries":["Italy"],"countries_codes":["ITA|Italy"],"topics":["Prevention"],"weight":1,"_version_":1666138491463925760,"score":60.907513},{"pmid":32343836,"pmcid":"PMC7197535","title":"COVID-19 and the Advancement of Digital Physical Therapist Practice and Telehealth.","text":["COVID-19 and the Advancement of Digital Physical Therapist Practice and Telehealth.","Phys Ther","Lee, Alan","32343836"],"journal":"Phys Ther","authors":["Lee, Alan"],"date":"2020-04-29T11:00:00Z","year":2020,"_id":"32343836","source":"PubMed","week":"202018|Apr 27 - May 03","doi":"10.1093/ptj/pzaa079","keywords":["covid-19","digital practice","technology","telehealth","telemedicine","telerehabilitation"],"topics":["Prevention"],"weight":1,"_version_":1666138495029084161,"score":60.907513},{"pmid":32466164,"title":"The Mental Health Burden of the COVID-19 Pandemic on Physical Therapists.","text":["The Mental Health Burden of the COVID-19 Pandemic on Physical Therapists.","We evaluated the mental health burden of coronavirus disease (COVID-19) on physical therapists, including their stress and anxiety levels, who were at risk of developing psychological distress and other mental health symptoms. A questionnaire survey was conducted with physical therapists of three university hospitals in South Korea on 10 April 2020. The questionnaires evaluated the presence of anxiety and depression in the respondents. Among the 65 physical therapists who completed our survey, 21 (32.3%) and 12 (18.5%) physical therapists reported having symptoms of anxiety and depression, respectively. If a physical therapist was living with a </=6-year-old infant or child, the possibility of the presence of anxiety was significantly higher. The risk of depression among those who were in their 30 s and 50 s was significantly higher than among those in their 20 s. Thus, physical therapists living with a </=6-year-old infant or child and those in their 30 s and 50 s need special attention.","Int J Environ Res Public Health","Yang, Seoyon","Kwak, Sang Gyu","Ko, Eun Jae","Chang, Min Cheol","32466164"],"abstract":["We evaluated the mental health burden of coronavirus disease (COVID-19) on physical therapists, including their stress and anxiety levels, who were at risk of developing psychological distress and other mental health symptoms. A questionnaire survey was conducted with physical therapists of three university hospitals in South Korea on 10 April 2020. The questionnaires evaluated the presence of anxiety and depression in the respondents. Among the 65 physical therapists who completed our survey, 21 (32.3%) and 12 (18.5%) physical therapists reported having symptoms of anxiety and depression, respectively. If a physical therapist was living with a </=6-year-old infant or child, the possibility of the presence of anxiety was significantly higher. The risk of depression among those who were in their 30 s and 50 s was significantly higher than among those in their 20 s. Thus, physical therapists living with a </=6-year-old infant or child and those in their 30 s and 50 s need special attention."],"journal":"Int J Environ Res Public Health","authors":["Yang, Seoyon","Kwak, Sang Gyu","Ko, Eun Jae","Chang, Min Cheol"],"date":"2020-05-30T11:00:00Z","year":2020,"_id":"32466164","source":"PubMed","week":"202022|May 25 - May 31","doi":"10.3390/ijerph17103723","keywords":["covid-19","anxiety","coronavirus","depression","mental health","physical therapists"],"locations":["South Korea"],"countries":["Korea, Republic of"],"countries_codes":["KOR|Korea, Republic of"],"weight":0,"_version_":1668167110038126592,"score":57.988594},{"pmid":32302404,"pmcid":"PMC7188170","title":"The Essential Role of Home- and Community-Based Physical Therapists During the COVID-19 Pandemic.","text":["The Essential Role of Home- and Community-Based Physical Therapists During the COVID-19 Pandemic.","Phys Ther","Falvey, Jason R","Krafft, Cindy","Kornetti, Diana","32302404"],"journal":"Phys Ther","authors":["Falvey, Jason R","Krafft, Cindy","Kornetti, Diana"],"date":"2020-04-18T11:00:00Z","year":2020,"_id":"32302404","source":"PubMed","week":"202016|Apr 13 - Apr 19","doi":"10.1093/ptj/pzaa069","topics":["Prevention"],"weight":1,"_version_":1666138494857117697,"score":55.49194}]} |
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{"title":"Lord of War (BDrip ENG-ITA 1080p DTS) x264 bluray (2005)","uid":6571354,"size":8579853614,"categoryP":"video","categoryS":"hd___movies","magnet":"?xt=urn:btih:dd4c1a0cbe18da50e227b88783d9fdd40d536c23&dn=Lord+of+War+%28BDrip+ENG-ITA+1080p+DTS%29+x264+bluray+%282005%29&tr=udp%3A%2F%2Ftracker.openbittorrent.com%3A80&tr=udp%3A%2F%2Fopen.demonii.com%3A1337&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Fexodus.desync.com%3A6969","seeders":1,"leechers":4,"uploader":"black mamba TNT","files":-1,"time":1311985204,"description":"Lord of War (BDrip ENG-ITA 1080p DTS) x264 bluray (2005)\n\n\nYear: 2005\nGenre: Crime | Drama | Thriller\nCast: Nicolas Cage, Ethan Hawke, Jared Leto, Bridget Moynahan, Eamonn Walker, Ian Holm, Sammi Rotibi\nDirector: Andrew Niccol\nAudio: English, Italian\nSubtitles: English, Italian\n\n\nINFO:\n <a href="\nhttp://www.imdb.com/title/tt0399295/" rel="nofollow" target="_NEW">\nhttp://www.imdb.com/title/tt0399295/</a>\n <a href="\nhttp://en.wikipedia.org/wiki/Lord_of_War" rel="nofollow" target="_NEW">\nhttp://en.wikipedia.org/wiki/Lord_of_War</a>\n\n\nTECHNICAL DATA:\n\nSize: 8146.932 MiB (Fill a DVD9)\n\n[ Generic infos ]\n\nDuration: 02:01:44 (7304.004 s)\nContainer: matroska\nTotal tracks: 6\nTrack nr. 1: video (V_MPEG4/ISO/AVC) [x264 1920x798 Bitrate=6336 kbps AverageQuantizer=22.607 Rip by ShivaShanti] {und}\nTrack nr. 2: audio (A_DTS) [English DTS 5.1 chnls 1509 kbps] {eng}\nTrack nr. 3: audio (A_DTS) [Italian DTS 5.1 chnls 1509 kbps] {ita}\nTrack nr. 4: subtitle (S_TEXT/UTF8) [english] {eng}\nTrack nr. 5: subtitle (S_TEXT/UTF8) [italian forced] {ita}\nTrack nr. 6: subtitle (S_TEXT/UTF8) [english forced] {eng}\n\n[ Relevant data ]\n\nResolution: 1920 x 798\nStandard deviation: 0.956\nStd. dev. weighted mean: 0.919\n\n[ x264 log ]\n\nframe I: 1579 ( 0.902 %)\nframe B: 136505 ( 77.957 %) ################\nframe P: 37019 ( 21.141 %) ####\nframe I avg QP: 16.93\nframe B avg QP: 23.42\nframe P avg QP: 19.85\nAvg QP: 22.607\n\n[ Video track ]\n\nCodec ID: V_MPEG4/ISO/AVC\nResolution: 1920 x 798\nFramerate: 23.976 fps\nStream size: 5,784,579,655 bytes (5516.605 MiB)\nDuration (bs): 02:01:43 (7303.254 s)\nBitrate (bs): 6336.441 kbps\nQf: 0.172\n\n\n\nSCREENSHOTS: \n <a href="\nhttp://imageshack.us/g/18/lordnx.jpg/" rel="nofollow" target="_NEW">\nhttp://imageshack.us/g/18/lordnx.jpg/</a>\n\nor\n <a href="\nhttp://img638.imageshack.us/img638/5876/lord1r.jpg" rel="nofollow" target="_NEW">\nhttp://img638.imageshack.us/img638/5876/lord1r.jpg</a> <a href="\nhttp://img849.imageshack.us/img849/5091/lord2.jpg" rel="nofollow" target="_NEW">\nhttp://img849.imageshack.us/img849/5091/lord2.jpg</a> <a href="\nhttp://img850.imageshack.us/img850/1514/lord3.jpg" rel="nofollow" target="_NEW">\nhttp://img850.imageshack.us/img850/1514/lord3.jpg</a> <a href="\nhttp://img14.imageshack.us/img14/6043/lord4.jpg" rel="nofollow" target="_NEW">\nhttp://img14.imageshack.us/img14/6043/lord4.jpg</a> <a href="\nhttp://img219.imageshack.us/img219/4552/lord5.jpg" rel="nofollow" target="_NEW">\nhttp://img219.imageshack.us/img219/4552/lord5.jpg</a> <a href="\nhttp://img819.imageshack.us/img819/6646/lord6.jpg" rel="nofollow" target="_NEW">\nhttp://img819.imageshack.us/img819/6646/lord6.jpg</a> <a href="\nhttp://img838.imageshack.us/img838/8320/lord7y.jpg" rel="nofollow" target="_NEW">\nhttp://img838.imageshack.us/img838/8320/lord7y.jpg</a> <a href="\nhttp://img853.imageshack.us/img853/4325/lord8.jpg" rel="nofollow" target="_NEW">\nhttp://img853.imageshack.us/img853/4325/lord8.jpg</a> <a href="\nhttp://img695.imageshack.us/img695/79/lord9.jpg" rel="nofollow" target="_NEW">\nhttp://img695.imageshack.us/img695/79/lord9.jpg</a> <a href="\nhttp://img233.imageshack.us/img233/4505/lord10h.jpg" rel="nofollow" target="_NEW">\nhttp://img233.imageshack.us/img233/4505/lord10h.jpg</a> <a href="\nhttp://img97.imageshack.us/img97/8876/lord11.jpg" rel="nofollow" target="_NEW">\nhttp://img97.imageshack.us/img97/8876/lord11.jpg</a> <a href="\nhttp://img830.imageshack.us/img830/2595/lord12.jpg" rel="nofollow" target="_NEW">\nhttp://img830.imageshack.us/img830/2595/lord12.jpg</a>\n\n\nTo play easily and switch among audio tracks and subtitles try VLC or Media Player Classic Home Cinema ;)\n\nIn the folder there is a short "valuation" preview, sized about 35 Mb; if you aren't sure about download, take it: may help you to decide if worth\n\nIf you want to burn on a DVD9+R and receive an error about insufficient space on disk, you have to enable some option like "finalize DVD" or "write disk at once instead of track at once"","torrent":{"xt":"urn:btih:dd4c1a0cbe18da50e227b88783d9fdd40d536c23","amp;dn":"Lord+of+War+%28BDrip+ENG-ITA+1080p+DTS%29+x264+bluray+%282005%29","amp;tr":["udp%3A%2F%2Ftracker.openbittorrent.com%3A80","udp%3A%2F%2Fopen.demonii.com%3A1337","udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969","udp%3A%2F%2Fexodus.desync.com%3A6969"],"infoHash":"dd4c1a0cbe18da50e227b88783d9fdd40d536c23","infoHashBuffer":{"type":"Buffer","data":[221,76,26,12,190,24,218,80,226,39,184,135,131,217,253,212,13,83,108,35]},"announce":[],"urlList":[]}} |
{"songs": [{"title": "Believe Me", "lyrics": "[Chorus]\nBelieve me\nTook a hundred thou' to my jeweler, told him freeze me\nI can fuck your bitch any day of the week, believe me\nPulling up in all type of foreigns, shit, that's how we be\nAin't nothing more important than getting this money, believe me\nYeah we here now, but it wasn't easy\nYeah we here now, but it wasn't easy\nBelieve me, believe me\nTook a hundred to my motherfuckin' jeweler just to freeze me\n\n[Verse 1]\nA hundred with the jeweler (VS)\nIn the club spending money, shining like hooper (ball)\nI'm the type of nigga split a million with the shooters (trap)\nI look up to the bosses like Tookie and Larry Hoover (hey)\nYeah, neck full of ice (ice)\nDid a lot of wrongs just to get my money right (right)\nI tell these rappers stay away with that fake shit (stay away)\n'Cause I got niggas round me that still like to take shit, yeah\nShe calls all my cars spaceships, yeah (spaceships)\nI work the trap in the day shift, yeah (day shift)\nA crack baby worth ten mil, yeah (ten mil)\nStill turnin' down record deals, ha\n\n[Chorus]\nBelieve me\nTook a hundred thou' to my jeweler, told him freeze me\nI can fuck your bitch any day of the week, believe me\nPulling up in all type of foreigns, shit, that's how we be\nAin't nothing more important than getting this money, believe me\nYeah we here now, but it wasn't easy\nYeah we here now, but it wasn't easy\nBelieve me, believe me\nTook a hundred to my motherfuckin' jeweler just to freeze me\n\n[Verse 2: Young Dolph]\nIf you my nigga, you my nigga then\nI told all of my bitches that they mine forever\nI told all my niggas we don't compete, we shine together\nExtra money buried for my son and I can't wait to tell him\nLil nigga you got a million dollar shovel (dig it up)\nIn the streets, felt like I was dancing with the devil (uh-huh)\nMade a lot of money, lost a lot of friends though (damn)\nYour homies loyal 'til the one time you tell 'em no (damn)\nI vow to never let another nigga raise my kids (nah)\nNigga them your responsibilities, not his (for real)\nReal niggas walk in, and they get nervous (why)\nEverything I'm getting right now, I deserve it\n\n[Chorus]\nBelieve me\nTook a hundred thou' to my jeweler, told him freeze me\nI can fuck your bitch any day of the week, believe me\nPulling up in all type of foreigns, shit, that's how we be\nAin't nothing more important than getting this money, believe me\nYeah we here now, but it wasn't easy\nYeah we here now, but it wasn't easy\nBelieve me, believe me\nTook a hundred to my motherfuckin' jeweler just to freeze me", "album": "Thinking Out Loud", "year": "2017-10-18", "image": "https://images.genius.com/7e038134f9085ca04f12ee09acf2db47.1000x1000x1.jpg"}], "artist": "Young Dolph"} |
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{"poster":"Fr34k5h0w","date":"2017-04-15T10:43:20.487+0000","title":"Matchmaking im niedrigen Levelbereich","subforum":"Champions & Gameplay","up_votes":3,"down_votes":0,"body":"Hallo,\r\n\r\nMit diesem Account bin ich zurzeit Level 16 und versuche ihn als Smurf auf Level 30 zu bekommen. Nebenbei habe ich noch meinen Main-Account.\r\n\r\nWährend dem Spielen im niedrigeren Levelbereich fällt mir auf, dass man ab und zu mit Level 30 Spielern spielt, die mit Level 8 Spielern in die Queue gehen. Auch wenn sich, theoretisch der Leveldurchschnitt ausgleicht, finde ich hat das Team mit den Level 30 Spielern immer einen Vorteil, vor allem wenn im Jungle das Mismatch besteht, da mit Level 16 noch keine Runen und kein Keystone vorhanden sind.\r\n\r\nIch hätte jetzt die Frage, wie das Matchmaking allgemein in dem mittleren Levelbereich funktioniert.\r\n\r\nWäre es vielleicht sinnvoller, wenn man irgendwelche Einschränkungen vornimmt, dass man zum Beispiel erst zusammen spielen kann, wenn der Levelunterschied zum Beispiel 10 beträgt? (Mit Level 20 hätte man ja wenigstens Runen.)","replies":[{"poster":"Samus Saran","date":"2017-04-15T11:29:56.630+0000","up_votes":1,"down_votes":0,"body":"Wäre auch wiederum doof für die die mit Ihren Freunden spielen wollen und es so nicht mehr könnten.\n\nBin aber auch wiederum der Meinung gegen Smurfer müsste man härter vorgehen und direkt nach 1-2 Matches erkennen das das kein Newbie ist.","replies":[{"poster":"Silverlord18","date":"2017-04-15T16:53:50.591+0000","up_votes":1,"down_votes":0,"body":"naja ich sag mal so angenommen ich wäre jetzt einer der auf die worlds geht und hab nen freund dem ich das spiel zeige und er dadurch hat besser ist da er durch meine erfahrung mehr skill hat ist der dafür direkt zu bestrafen nur weil ich dem tipps gebe und er hat keine ahnung wie nen gold gamer spielt??\n\nwas ich sagen will ist nicht jemand der neu anfängt ist automatisch nen smurf- Aber wo ich dir recht gebe wenn die leute noch fett in chat schreiben im platin smurf die könnten mal ne strafe bekommen erstrecht wenn dadurch leute die absolut die troller sind dann noch mit in silber oder so ziehen und dann da solo rein trollen\n\naber riot sollte mal lieber gegen die leute gehen die mit 700 ping spielen und das dauerhaft oder ständig afk auf der base trollen :D","replies":[]}]},{"poster":"JustA kleo","date":"2017-04-15T16:41:38.416+0000","up_votes":1,"down_votes":0,"body":"als ob dass das hauptproblem ist... als ich diesen acc gemacht habe hab ich angegeben \"bin profi\" also die 4. der 4 optionen, das höchste wenn man so will\nwas ist, in meinem 1. match einfach 2 leute die sagen sie sind neu und auch wie neue spieler gespielt haben.","replies":[]},{"poster":"Toffeefan","date":"2017-04-15T11:33:38.040+0000","up_votes":1,"down_votes":0,"body":"Spiel doch einfach auf deinem Main","replies":[]}]} |
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{"poster":"El Renegado","date":"2016-08-10T16:56:13.018+0000","title":"Se me desaparecio mi ward :C","subforum":"Problemas Técnicos","up_votes":3,"down_votes":0,"body":"Hola , quisiera saber porque se desaparecio mi ward de urf , entro a mi cuenta y no me sale ,por favor si alguien sabe algo y me dice , o algun rioter me responde , desde ya muchas gracias","replies":[{"poster":"InsTicC","date":"2016-08-10T20:26:00.106+0000","up_votes":1,"down_votes":0,"body":"Mande esta misma duda a soporte y dijeron que era un bug visual y esperaban que pronto pudieran solucionar el problema... pero no hay solución con el nuevo parche.\n\nhttps://gyazo.com/a3b5692d01ec35b611ed76c10b2db9c8\n\nEsto aparece ahora en la pagina de soporte asi q ya estan al tanto...\n\nhttps://support.riotgames.com/hc/es-419/articles/224867827--AGOSTO-9-ESTAMOS-AL-TANTO-DE-UN-PROBLEMA-DONDE-ALGUNOS-ASPECTOS-DE-CENTINELA-NO-APARECEN-O-QUE-EVITAN-QUE-APARESCA-LA-CAJA-DE-SELECCI%C3%93N-DE-CENTINELA-","replies":[]},{"poster":"ViDa AS","date":"2016-08-10T19:32:13.303+0000","up_votes":1,"down_votes":0,"body":"A mi el centinela que era un ramo de flores nunca lo use por feo pero no me gustaria que me saliera denuevo asi que ojala devuelbanlo","replies":[]},{"poster":"T0RRENT","date":"2016-08-10T17:06:27.754+0000","up_votes":1,"down_votes":0,"body":"Tengo el mismo problema, hace un momento me dí cuenta que me desaparecieron 2 Ward, Centinela AstroPoro y Centinela Otoño Viejo.\nYa envié soporte.. esperemos una respuesta satisfactoria.","replies":[{"poster":"El Renegado","date":"2016-08-10T17:08:22.568+0000","up_votes":1,"down_votes":0,"body":"Si ojala , ami solamente el de urf","replies":[]}]}]} |
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{"title":"2020年のPS4およびPS5ゲームプレイ統計にアクセスする方法","content":"<p> ソニーはPlayStationWrap-Upをリリースしました。これにより、昨年のPlayStationの旅を振り返ることができます。 </p> <p> このエクスペリエンスにアクセスする方法を説明し、いくつかの要件を認識させます。 </p> <h2 id=\"what-is-playstation-wrap-up\"> PlayStationのまとめとは何ですか？ </h2> <p> 私たちが報告したように、 <a href=\"https://www.makeuseof.com/playstation-wrap-ps4-ps5-stats-2020/\" target=\"_blank\" rel=\"nofollow noopener\"> PlayStation Wrap-Upは、昨年のゲームの概要です </a> 。 </p> <p> これは、PS4とPS5のプレイ習慣を詳しく説明するパーソナライズされたページで、プレイしたゲームの数、プレイに費やした時間、途中で獲得したトロフィーの数などが含まれます。 </p> <p> PlayStationのシェイプをフィーチャーした無料のダイナミックテーマを入手することもできます。紛らわしいことに、これはPS4でのみ利用可能であり、新しくリリースされたPS5では利用できません。 </p> <p> </p> <h2 id=\"how-to-access-playstation-wrap-up\"> PlayStationのまとめにアクセスする方法 </h2> <p> <img alt=\"playstation wrapped days played\" src=\"images/playstation-wrapped-days-played-268.png\" loading=\"lazy\"> </p> <p> レポートを表示するには、にアクセスしてください <a href=\"https://www.wrapup.playstation.com\" target=\"_blank\" rel=\"nofollow noopener\"> PlayStation Wrap-UpWebサイト </a> 。まだログインしていない場合は、Sonyアカウントにログインする必要があります。ページが表示されたら、下にスクロールして統計を表示し、PS4テーマを利用できます。 </p> <p> まとめの体験は2021年3月2日までしか利用できません。そのため、参加したい場合は遅らせないでください。 </p> <p> PlayStation Wrap-Upを使用するには、次の条件を満たす必要があります。 </p> <ul> <li> お住まいの地域でPSNアカウントを登録してください。 </li> <li> 18歳以上であること。 </li> <li> 2020年1月1日から2020年12月31日までの間にPS4コンソールで少なくとも10時間ゲームをプレイしたことがある。 </li> </ul> <p> さらに、ヨーロッパ、中東、アフリカ、オーストラリア、インド、ロシアのユーザーは、 <strong> 追加データ </strong> 。あなたはPS4でこれを有効にすることができます <strong> 設定 </strong> >> <strong> デバイスデータ/健康と安全 </strong> >> <strong> デバイスデータ </strong> 。 </p> <p> 最後に、PlayStationのまとめを含むメールを受け取ることができます。ただし、マーケティングメールの受信を選択している必要があります。これは、 <strong> 通知設定 </strong> PSNアカウントで。 </p> <p> </p> <h2 id=\"will-there-be-a-2021-wrap-up\"> 2021年のまとめはありますか？ </h2> <p> <img alt=\"A PS5 DualSense controller against a PS5 console that is blurred\" src=\"images/ps5-controller-blurred-background-792.jpg\" loading=\"lazy\"> </p> <p> ソニーがまとめ体験を行ったのは今年で2年連続。 2020年のデータのみを分析しているため、PS4に重点を置いています。 </p> <p> うまくいけば、ソニーは来年、PS5がもっと長く発売され、より多くのゲームがリリースされるときに、再びそれを行うでしょう。 </p>"} |
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Oh--but the heavenly joy of those fresh garden tomatoes... Excuse me, I have to clean the drool off of the keyboard! Joanna","messageBody":"<div id=\"ygrps-yiv-711159430\">... and tomatoes. But if there are years in the future <br/>\n<blockquote><span title=\"ireply\"> > with no edibles I won't be crushed. We live a one-minute walk from a <br/>\n> supermarket.<br/>\n> <br/>\n> Sandra<br/>\n> <br/>\n </span></blockquote>Oh--but the heavenly joy of those fresh garden tomatoes... Excuse me, I have to clean the drool off of the keyboard! <bwg><br/>\n<br/>\nJoanna</div>","specialLinks":[]},{"userId":328141476,"authorName":"Adrean Clark","from":"Adrean Clark <adreanaline@...>","profile":"fuzzyellowduck","replyTo":"LIST","spamInfo":{"isSpam":false,"reason":"12"},"subject":"Re: [AlwaysLearning] Re: Purposes","postDate":"1244061352","msgId":45704,"canDelete":false,"contentTrasformed":false,"systemMessage":false,"headers":{"messageIdInHeader":"PGQwZGQzNGUzMDkwNjAzMTMzNWo3OGEzNTQzYnI3YTQ0MzU5NTljNGNkNWVkQG1haWwuZ21haWwuY29tPg==","inReplyToHeader":"PGgwNmtsbytqbjc1QGVHcm91cHMuY29tPg==","referencesHeader":"PDU1NDFDOERDLTVENjAtNDNFNi05OTAyLTBCMzE3REZDMjFGRUBzdXBlbm4uY29tPgkgPGgwNmtsbytqbjc1QGVHcm91cHMuY29tPg=="},"prevInTopic":45701,"nextInTopic":45728,"prevInTime":45703,"nextInTime":45705,"topicId":45680,"numMessagesInTopic":0,"msgSnippet":"This conversation reminds me of the book A House is a House for Me -- http://www.amazon.com/House-Me-Picture-Puffin-Books/dp/0140503943 ... Adrean","messageBody":"<div id=\"ygrps-yiv-505317419\">This conversation reminds me of the book "A House is a House for Me"<br/>\n-- <a rel=\"nofollow\" target=\"_blank\" href=\"http://www.amazon.com/House-Me-Picture-Puffin-Books/dp/0140503943\">http://www.amazon.com/House-Me-Picture-Puffin-Books/dp/0140503943</a><br/>\n<br/>\n:D<br/>\n<br/>\nAdrean</div>","specialLinks":[]},{"userId":247566989,"authorName":"Sandra Dodd","from":"Sandra Dodd <Sandra@...>","profile":"sandralynndodd","replyTo":"LIST","spamInfo":{"isSpam":false,"reason":"12"},"subject":"Re: [AlwaysLearning] Re: Purposes","postDate":"1244059929","msgId":45701,"canDelete":false,"contentTrasformed":false,"systemMessage":false,"headers":{"messageIdInHeader":"PEU1OTYzMTc4LUU3NDMtNDg4Qi1BNjI4LTkyNjFFNkYzMzMzRkBTYW5kcmFkb2RkLmNvbT4=","inReplyToHeader":"PGgwNmtsbytqbjc1QGVHcm91cHMuY29tPg==","referencesHeader":"PGgwNmtsbytqbjc1QGVHcm91cHMuY29tPg=="},"prevInTopic":45699,"nextInTopic":45704,"prevInTime":45700,"nextInTime":45702,"topicId":45680,"numMessagesInTopic":0,"msgSnippet":"-=- We re raising boys now. We ll raise grass later. I think of that anytime I start to get uptight about the house, yard, etc.-=- My yard this year is full","messageBody":"<div id=\"ygrps-yiv-1543816747\">-=-"We're raising boys now. We'll raise grass later."<br/>\n<br/>\nI think of that anytime I start to get uptight about the house, yard, <br/>\netc.-=-<br/>\n<br/>\nMy yard this year is full and thick and a little bit prissy, even, <br/>\nbecause my kids are 17 and 20 and Gone, and so I'm not worried that <br/>\nkids will tromp through. When/if there are grandchildren who want <br/>\nto play in my yard, I will forego any prissiness and plan for kid- <br/>\ntromping.<br/>\n<br/>\nYears back when we knew way in advance that a young friend was going <br/>\nto visit in October, I planted a flower house for her (an A-frame <br/>\nmorning glory house) and a pumpkin patch. Nowadays there are trees <br/>\nand lawn where that pumpkin patch once was, but I wanted her to be <br/>\nable to pick her own jack-o-lantern, and she did and we had a great <br/>\ntime.<br/>\n<br/>\nThe purpose of the yard is to be a place we can go to do something, <br/>\nand store some things. This year our yard has more garden function <br/>\nthan other years. I have potatoes, onions, dill, cumin (don't know if <br/>\nthat will work) and tomatoes. But if there are years in the future <br/>\nwith no edibles I won't be crushed. We live a one-minute walk from a <br/>\nsupermarket.<br/>\n<br/>\nSandra<br/>\n<br/>\n[Non-text portions of this message have been removed]</div>","specialLinks":[]},{"userId":346626599,"authorName":"guideforthree","from":""guideforthree" <tinaboster@...>","profile":"guideforthree","replyTo":"LIST","spamInfo":{"isSpam":false,"reason":"6"},"subject":"Re: Purposes","postDate":"1244059128","msgId":45699,"canDelete":false,"contentTrasformed":false,"systemMessage":false,"headers":{"messageIdInHeader":"PGgwNmtsbytqbjc1QGVHcm91cHMuY29tPg==","inReplyToHeader":"PDU1NDFDOERDLTVENjAtNDNFNi05OTAyLTBCMzE3REZDMjFGRUBzdXBlbm4uY29tPg=="},"prevInTopic":45688,"nextInTopic":45701,"prevInTime":45698,"nextInTime":45700,"topicId":45680,"numMessagesInTopic":0,"msgSnippet":"===== Homes are for self-expression, not good impressions. ==== This reminded me of my favorite line from a book I read years ago: We re raising boys now.","messageBody":"<div id=\"ygrps-yiv-1462889405\">===== "Homes are for self-expression, not good impressions." ====<br/>\n<br/>\n<br/>\nThis reminded me of my favorite line from a book I read years ago:<br/>\n<br/>\n"We're raising boys now. We'll raise grass later." <br/>\n<br/>\nI think of that anytime I start to get uptight about the house, yard, etc.<br/>\n<br/>\nTina</div>","specialLinks":[]},{"userId":247566989,"authorName":"Sandra Dodd","from":"Sandra Dodd <Sandra@...>","profile":"sandralynndodd","replyTo":"LIST","spamInfo":{"isSpam":false,"reason":"12"},"subject":"Re: [AlwaysLearning] Purposes","postDate":"1243961902","msgId":45688,"canDelete":false,"contentTrasformed":false,"systemMessage":false,"headers":{"messageIdInHeader":"PDY5QzBEOEQyLTk1RUYtNDQ1RS1CNjFGLUVCN0Y2NTREREFGNUBTYW5kcmFkb2RkLmNvbT4=","inReplyToHeader":"PEY4NjA5OTYwLUNENTktNDY2RC05NTFDLUI4RjdERjlCQTBFQ0BTYW5kcmFkb2RkLmNvbT4=","referencesHeader":"PEY4NjA5OTYwLUNENTktNDY2RC05NTFDLUI4RjdERjlCQTBFQ0BTYW5kcmFkb2RkLmNvbT4="},"prevInTopic":45682,"nextInTopic":45699,"prevInTime":45687,"nextInTime":45689,"topicId":45680,"numMessagesInTopic":0,"msgSnippet":"About houses, I was going to look up what others had written. I found a quote that said a house was a machine for living in, but that s too much like Krang s","messageBody":"<div id=\"ygrps-yiv-2144780084\">About houses, I was going to look up what others had written. I found <br/>\na quote that said a house was a machine for living in, but that's too <br/>\nmuch like Krang's Android Body or the Power Rangers big bots. My <br/>\nhouse isn't a machine, though the doors might be, in a way.<br/>\n<br/>\nI thought of other ways to look it up, and found laws and such, but <br/>\nnot philosophy. I'm sure it's out there. I did come across the <br/>\nphrase "dwelling unit," to refer to whatever: house, apartment, tent <br/>\nor just whatever it might be.<br/>\n<br/>\nGeorge Carlin said a house is a place to put your stuff.<br/>\n<br/>\n<a rel=\"nofollow\" target=\"_blank\" href=\"http://www.youtube.com/watch?v=MvgN5gCuLac\">http://www.youtube.com/watch?v=MvgN5gCuLac</a><br/>\n(It turns a little "particular" at the end, but the beginning is good <br/>\nfor any audience.)<br/>\n<br/>\nSandra</div>","specialLinks":[{"url":"http://www.youtube.com/embed/MvgN5gCuLac?wmode=opaque","type":"VIDEO"}]},{"userId":223803785,"authorName":"Su Penn","from":"Su Penn <su@...>","profile":"marie101365","replyTo":"LIST","spamInfo":{"isSpam":false,"reason":"12"},"subject":"Re: [AlwaysLearning] Purposes","postDate":"1243953482","msgId":45682,"canDelete":false,"contentTrasformed":false,"systemMessage":false,"headers":{"messageIdInHeader":"PDU1NDFDOERDLTVENjAtNDNFNi05OTAyLTBCMzE3REZDMjFGRUBzdXBlbm4uY29tPg==","inReplyToHeader":"PEY4NjA5OTYwLUNENTktNDY2RC05NTFDLUI4RjdERjlCQTBFQ0BTYW5kcmFkb2RkLmNvbT4=","referencesHeader":"PEY4NjA5OTYwLUNENTktNDY2RC05NTFDLUI4RjdERjlCQTBFQ0BTYW5kcmFkb2RkLmNvbT4="},"prevInTopic":45680,"nextInTopic":45688,"prevInTime":45681,"nextInTime":45683,"topicId":45680,"numMessagesInTopic":0,"msgSnippet":"... In the otherwise horrible remake of Yours, Mine, and Ours, Rene Russo s characters is getting ready for her first date with Dennis Quaid s character, and","messageBody":"<div id=\"ygrps-yiv-1462183994\">On Jun 2, 2009, at 10:29 AM, Sandra Dodd wrote:<br/>\n<br/>\n<blockquote><span title=\"ireply\"> ><br/>\n> What is the purpose of a house? What are houses for? What are houses<br/>\n> about?<br/>\n<br/>\n </span></blockquote>In the otherwise horrible remake of Yours, Mine, and Ours, Rene <br/>\nRusso's characters is getting ready for her first date with Dennis <br/>\nQuaid's character, and her many children ask her if perhaps she <br/>\nshouldn't clean up the house before he comes. She says, "Homes are for <br/>\nself-expression, not good impressions." I would totally cross-stitch <br/>\nthat on a sampler if I had the time and talent!<br/>\n<br/>\nSu<br/>\n<br/>\nmom of Eric, 8; Carl, 5; Yehva, almost 2</div>","specialLinks":[]},{"userId":247566989,"authorName":"Sandra Dodd","from":"Sandra Dodd <Sandra@...>","profile":"sandralynndodd","replyTo":"LIST","spamInfo":{"isSpam":false,"reason":"12"},"subject":"Purposes","postDate":"1243952999","msgId":45680,"canDelete":false,"contentTrasformed":false,"systemMessage":false,"headers":{"messageIdInHeader":"PEY4NjA5OTYwLUNENTktNDY2RC05NTFDLUI4RjdERjlCQTBFQ0BTYW5kcmFkb2RkLmNvbT4="},"prevInTopic":0,"nextInTopic":45682,"prevInTime":45679,"nextInTime":45681,"topicId":45680,"numMessagesInTopic":0,"msgSnippet":"I cut this off the bottom of a post about what cooking is about, and what housecleaning is about. Yesterday in the chat we talked about relatives quizzing","messageBody":"<div id=\"ygrps-yiv-1020866922\">I cut this off the bottom of a post about what cooking is about, and <br/>\nwhat housecleaning is about.<br/>\n<br/>\nYesterday in the chat we talked about relatives quizzing kids, and <br/>\nasking the moms questions about unschooling, and about the defensive <br/>\nfeelings that can arise in the mom. Sometimes the other person has <br/>\nno sinister purpose, but is just being awkwardly conversational. <br/>\nSometimes they honestly want to know more about unschooling. <br/>\nSometimes they want to be intimidating and insulting. Rather than <br/>\nhave a policy on how to respond, it's good to consider what their <br/>\nmotives and intent are.<br/>\n<br/>\nWhat is their purpose in asking?<br/>\n<br/>\nWhat is the purpose of baking?<br/>\n<br/>\nWhat is the purpose of a house? What are houses for? What are houses <br/>\nabout?<br/>\n<br/>\nWhat is learning about?<br/>\nThat's a good question that's been in my head lately.<br/>\nWhat is the purpose of learning?<br/>\n<br/>\nSandra<br/>\n<br/>\n<br/>\n<br/>\n[Non-text portions of this message have been removed]</div>","specialLinks":[]}],"prevTopicId":45633,"nextTopicId":45729}} |
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{"notes": [{"id": "ryxW804FPH", "original": "ryxkDALuwr", "number": 1128, "cdate": 1569439304880, "ddate": null, "tcdate": 1569439304880, "tmdate": 1577168224104, "tddate": null, "forum": "ryxW804FPH", "replyto": null, "invitation": "ICLR.cc/2020/Conference/-/Blind_Submission", "content": {"authorids": ["olsomatt@oregonstate.edu", "lisa.zhang@nokia-bell-labs.com", "cnyu@cs.cornell.edu"], "title": "ADAPTING PRETRAINED LANGUAGE MODELS FOR LONG DOCUMENT CLASSIFICATION", "authors": ["Matthew Lyle Olson", "Lisa Zhang", "Chun-Nam Yu"], "pdf": "/pdf/8d9bc39c3bd1f7daaa26b461701474f8c76ff62b.pdf", "TL;DR": "We acheive state of the art results on long document classication by combining pretrained language models representations with attention.", "abstract": "Pretrained language models (LMs) have shown excellent results in achieving human like performance on many language tasks. However, the most powerful LMs have one significant drawback: a fixed-sized input. With this constraint, these LMs are unable to utilize the full input of long documents. In this paper, we introduce a new framework to handle documents of arbitrary lengths. We investigate the addition of a recurrent mechanism to extend the input size and utilizing attention to identify the most discriminating segment of the input. We perform extensive validating experiments on patent and Arxiv datasets, both of which have long text. We demonstrate our method significantly outperforms state-of-the-art results reported in recent literature.", "code": "https://github.com/cf-anonymous/long_doc", "keywords": ["NLP", "Deep Learning", "Language Models", "Long Document"], "paperhash": "olson|adapting_pretrained_language_models_for_long_document_classification", "original_pdf": "/attachment/c5234f33a859ca1a972aa156862eac7271ce5e9c.pdf", "_bibtex": "@misc{\nolson2020adapting,\ntitle={{\\{}ADAPTING{\\}} {\\{}PRETRAINED{\\}} {\\{}LANGUAGE{\\}} {\\{}MODELS{\\}} {\\{}FOR{\\}} {\\{}LONG{\\}} {\\{}DOCUMENT{\\}} {\\{}CLASSIFICATION{\\}}},\nauthor={Matthew Lyle Olson and Lisa Zhang and Chun-Nam Yu},\nyear={2020},\nurl={https://openreview.net/forum?id=ryxW804FPH}\n}"}, "signatures": ["ICLR.cc/2020/Conference"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference"], "details": {"replyCount": 7, "writable": false, "overwriting": [], "revisions": true, "tags": [], "invitation": {"reply": {"readers": {"values-regex": ".*"}, "writers": {"values": ["ICLR.cc/2020/Conference"]}, "signatures": {"values": ["ICLR.cc/2020/Conference"]}, "content": {"spotlight_video": {"value-regex": ".*"}, "full_presentation_video": {"value-regex": ".*"}, "original_pdf": {"required": false, "description": "Upload a PDF file that ends with .pdf", "value-regex": ".*"}, "appendix": {"value-regex": ".*"}, "authorids": {"values-regex": ".*"}, "poster": {"value-regex": ".*"}, "authors": {"values": ["Anonymous"]}, "slides": {"value-regex": ".*"}}}, "final": [], "signatures": ["ICLR.cc/2020/Conference"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference"], "invitees": ["ICLR.cc/2020/Conference"], "noninvitees": [], "tcdate": 1569271260237, "tmdate": 1593459412141, "id": "ICLR.cc/2020/Conference/-/Blind_Submission"}}, "tauthor": "OpenReview.net"}, {"id": "Xqc_D0kFwG", "original": null, "number": 1, "cdate": 1576798715239, "ddate": null, "tcdate": 1576798715239, "tmdate": 1576800921286, "tddate": null, "forum": "ryxW804FPH", "replyto": "ryxW804FPH", "invitation": "ICLR.cc/2020/Conference/Paper1128/-/Decision", "content": {"decision": "Reject", "comment": "This paper investigates ways of using pretrained transformer models like BERT for classification tasks on documents that are longer than a standard transformer can feasibly encode. \n\nThis seems like a reasonable research goal, and none of the reviewers raised any concerns that seriously questioned the claims of the paper. However, neither of the more confident reviewers were convinced by the experiments in the paper (even after some private discussion) that the methods presented here represent a useful contribution. \n\nThis is not an area that I (the area chair) know well, but it seems as though there aren't any easy fixes to suggest: Additional discussion of the choice of evaluation data (or new data), further ablations, and general refinement of the writing could help.", "title": "Paper Decision"}, "signatures": ["ICLR.cc/2020/Conference/Program_Chairs"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Program_Chairs"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"authorids": ["olsomatt@oregonstate.edu", "lisa.zhang@nokia-bell-labs.com", "cnyu@cs.cornell.edu"], "title": "ADAPTING PRETRAINED LANGUAGE MODELS FOR LONG DOCUMENT CLASSIFICATION", "authors": ["Matthew Lyle Olson", "Lisa Zhang", "Chun-Nam Yu"], "pdf": "/pdf/8d9bc39c3bd1f7daaa26b461701474f8c76ff62b.pdf", "TL;DR": "We acheive state of the art results on long document classication by combining pretrained language models representations with attention.", "abstract": "Pretrained language models (LMs) have shown excellent results in achieving human like performance on many language tasks. However, the most powerful LMs have one significant drawback: a fixed-sized input. With this constraint, these LMs are unable to utilize the full input of long documents. In this paper, we introduce a new framework to handle documents of arbitrary lengths. We investigate the addition of a recurrent mechanism to extend the input size and utilizing attention to identify the most discriminating segment of the input. We perform extensive validating experiments on patent and Arxiv datasets, both of which have long text. We demonstrate our method significantly outperforms state-of-the-art results reported in recent literature.", "code": "https://github.com/cf-anonymous/long_doc", "keywords": ["NLP", "Deep Learning", "Language Models", "Long Document"], "paperhash": "olson|adapting_pretrained_language_models_for_long_document_classification", "original_pdf": "/attachment/c5234f33a859ca1a972aa156862eac7271ce5e9c.pdf", "_bibtex": "@misc{\nolson2020adapting,\ntitle={{\\{}ADAPTING{\\}} {\\{}PRETRAINED{\\}} {\\{}LANGUAGE{\\}} {\\{}MODELS{\\}} {\\{}FOR{\\}} {\\{}LONG{\\}} {\\{}DOCUMENT{\\}} {\\{}CLASSIFICATION{\\}}},\nauthor={Matthew Lyle Olson and Lisa Zhang and Chun-Nam Yu},\nyear={2020},\nurl={https://openreview.net/forum?id=ryxW804FPH}\n}"}, "tags": [], "invitation": {"reply": {"writers": {"description": "How your identity will be displayed.", "values-regex": ["ICLR.cc/2020/Conference/Program_Chairs"]}, "signatures": {"values": ["ICLR.cc/2020/Conference/Program_Chairs"], "description": "How your identity will be displayed."}, "content": {"decision": {"value-radio": ["Accept (Spotlight)", "Accept (Talk)", "Accept (Poster)", "Reject"], "description": "Decision", "required": true, "order": 2}, "title": {"value": "Paper Decision", "required": true, "order": 1}, "comment": {"value-regex": "[\\S\\s]{0,5000}", "description": "", "required": false, "order": 3}}, "forum": "ryxW804FPH", "replyto": "ryxW804FPH", "readers": {"values": ["everyone"], "description": "Select all user groups that should be able to read this comment."}, "nonreaders": {"values": []}}, "expdate": 1576854540000, "duedate": 1576853940000, "multiReply": false, "readers": ["everyone"], "invitees": ["ICLR.cc/2020/Conference/Program_Chairs"], "tcdate": 1576795711016, "tmdate": 1576800260125, "super": "ICLR.cc/2020/Conference/-/Decision", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "id": "ICLR.cc/2020/Conference/Paper1128/-/Decision"}}}, {"id": "B1lXR-pssr", "original": null, "number": 4, "cdate": 1573798346595, "ddate": null, "tcdate": 1573798346595, "tmdate": 1573798346595, "tddate": null, "forum": "ryxW804FPH", "replyto": "HkxSKurAYS", "invitation": "ICLR.cc/2020/Conference/Paper1128/-/Official_Comment", "content": {"title": "Thank you for the comments", "comment": "Thank you for taking the time to review our paper. We address the issues below, and have updated the manuscript accordingly.\n\nIssue: simple methods, weak contributions\n\nWhile it is the case our primary model (ATT-LM) combines existing techniques, the intention with our method is to have a model that is ready to use, simple, and effective. Long document classification is an area of practical importance, and we hope to encourage further research in this area with our work. \nOur method, though simple, has shown consistent improvement demonstrated by our extensive experiments. Nevertheless, we have updated the language in our manuscript to more accurately reflect our other two non-trivial contributions (in addition to combination strategies): \n\n1. The analysis of our methods via timing, hyperparameter search, multiple dataset augmentations, and ablation experiments.\n2. The utilization of attention to perform selective LM parameter updates.\n\n\nIssue: readability\n\nWe have revised the manuscript to address the issues with readability. We believe the updated manuscript is more comprehensible and has significantly fewer typos.\n"}, "signatures": ["ICLR.cc/2020/Conference/Paper1128/Authors"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Paper1128/Authors", "ICLR.cc/2020/Conference"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"authorids": ["olsomatt@oregonstate.edu", "lisa.zhang@nokia-bell-labs.com", "cnyu@cs.cornell.edu"], "title": "ADAPTING PRETRAINED LANGUAGE MODELS FOR LONG DOCUMENT CLASSIFICATION", "authors": ["Matthew Lyle Olson", "Lisa Zhang", "Chun-Nam Yu"], "pdf": "/pdf/8d9bc39c3bd1f7daaa26b461701474f8c76ff62b.pdf", "TL;DR": "We acheive state of the art results on long document classication by combining pretrained language models representations with attention.", "abstract": "Pretrained language models (LMs) have shown excellent results in achieving human like performance on many language tasks. However, the most powerful LMs have one significant drawback: a fixed-sized input. With this constraint, these LMs are unable to utilize the full input of long documents. In this paper, we introduce a new framework to handle documents of arbitrary lengths. We investigate the addition of a recurrent mechanism to extend the input size and utilizing attention to identify the most discriminating segment of the input. We perform extensive validating experiments on patent and Arxiv datasets, both of which have long text. We demonstrate our method significantly outperforms state-of-the-art results reported in recent literature.", "code": "https://github.com/cf-anonymous/long_doc", "keywords": ["NLP", "Deep Learning", "Language Models", "Long Document"], "paperhash": "olson|adapting_pretrained_language_models_for_long_document_classification", "original_pdf": "/attachment/c5234f33a859ca1a972aa156862eac7271ce5e9c.pdf", "_bibtex": "@misc{\nolson2020adapting,\ntitle={{\\{}ADAPTING{\\}} {\\{}PRETRAINED{\\}} {\\{}LANGUAGE{\\}} {\\{}MODELS{\\}} {\\{}FOR{\\}} {\\{}LONG{\\}} {\\{}DOCUMENT{\\}} {\\{}CLASSIFICATION{\\}}},\nauthor={Matthew Lyle Olson and Lisa Zhang and Chun-Nam Yu},\nyear={2020},\nurl={https://openreview.net/forum?id=ryxW804FPH}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"required": true, "description": "Brief summary of your comment.", "order": 0, "value-regex": ".{1,500}"}, "comment": {"required": true, "description": "Your comment or reply (max 5000 characters). Add TeX formulas using the following formats: $In-line Formula$ or $$Block Formula$$", "order": 1, "value-regex": "[\\S\\s]{1,5000}"}}, "forum": "ryxW804FPH", "readers": {"values-dropdown": ["everyone", "ICLR.cc/2020/Conference/Paper1128/Authors", "ICLR.cc/2020/Conference/Paper1128/AnonReviewer.*", "ICLR.cc/2020/Conference/Paper1128/Reviewers/Submitted", "ICLR.cc/2020/Conference/Paper1128/Reviewers", "ICLR.cc/2020/Conference/Paper1128/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response"}, "writers": {"values-copied": ["ICLR.cc/2020/Conference", "{signatures}"]}, "signatures": {"description": "How your identity will be displayed.", "values-regex": "ICLR.cc/2020/Conference/Paper1128/AnonReviewer[0-9]+|ICLR.cc/2020/Conference/Paper1128/Authors|ICLR.cc/2020/Conference/Paper1128/Area_Chair[0-9]+|ICLR.cc/2020/Conference/Program_Chairs"}}, "readers": ["everyone"], "tcdate": 1569504160809, "tmdate": 1576860557584, "super": "ICLR.cc/2020/Conference/-/Comment", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "invitees": ["ICLR.cc/2020/Conference/Paper1128/Authors", "ICLR.cc/2020/Conference/Paper1128/Reviewers", "ICLR.cc/2020/Conference/Paper1128/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "id": "ICLR.cc/2020/Conference/Paper1128/-/Official_Comment"}}}, {"id": "Hkg-TepsjB", "original": null, "number": 3, "cdate": 1573798072938, "ddate": null, "tcdate": 1573798072938, "tmdate": 1573798072938, "tddate": null, "forum": "ryxW804FPH", "replyto": "SkxR9kKJ5H", "invitation": "ICLR.cc/2020/Conference/Paper1128/-/Official_Comment", "content": {"title": "Thank you for the comments", "comment": "Thank you for taking the time to review our paper. We clarify some points below, and we have added further discussion to the paper.\n\nQ: Why does the BERT-base model show the most improvement over the previously proposed models?\n\nOur BERT-base improves over the PatentBert implementation because PatentBert does not combine the title, abstract, and claim-- but only the title+abstract or just the first claim. This was done to prevent truncation, but these combinations don't always reach the max input size. Additionally, our BERT-base improves over the Deep Patent methods and Local Word Glimpses as they use word level embeddings instead of language model based embeddings. \n\n\nComment: Shuffling should be confirmed on a real dataset\n\nWhile we would like to confirm the results of our shuffling experiment on other datasets, we were unable to find any sufficiently long document classification task that would be illuminative. For future work, we would like to find more datasets for this task.\n"}, "signatures": ["ICLR.cc/2020/Conference/Paper1128/Authors"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Paper1128/Authors", "ICLR.cc/2020/Conference"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"authorids": ["olsomatt@oregonstate.edu", "lisa.zhang@nokia-bell-labs.com", "cnyu@cs.cornell.edu"], "title": "ADAPTING PRETRAINED LANGUAGE MODELS FOR LONG DOCUMENT CLASSIFICATION", "authors": ["Matthew Lyle Olson", "Lisa Zhang", "Chun-Nam Yu"], "pdf": "/pdf/8d9bc39c3bd1f7daaa26b461701474f8c76ff62b.pdf", "TL;DR": "We acheive state of the art results on long document classication by combining pretrained language models representations with attention.", "abstract": "Pretrained language models (LMs) have shown excellent results in achieving human like performance on many language tasks. However, the most powerful LMs have one significant drawback: a fixed-sized input. With this constraint, these LMs are unable to utilize the full input of long documents. In this paper, we introduce a new framework to handle documents of arbitrary lengths. We investigate the addition of a recurrent mechanism to extend the input size and utilizing attention to identify the most discriminating segment of the input. We perform extensive validating experiments on patent and Arxiv datasets, both of which have long text. We demonstrate our method significantly outperforms state-of-the-art results reported in recent literature.", "code": "https://github.com/cf-anonymous/long_doc", "keywords": ["NLP", "Deep Learning", "Language Models", "Long Document"], "paperhash": "olson|adapting_pretrained_language_models_for_long_document_classification", "original_pdf": "/attachment/c5234f33a859ca1a972aa156862eac7271ce5e9c.pdf", "_bibtex": "@misc{\nolson2020adapting,\ntitle={{\\{}ADAPTING{\\}} {\\{}PRETRAINED{\\}} {\\{}LANGUAGE{\\}} {\\{}MODELS{\\}} {\\{}FOR{\\}} {\\{}LONG{\\}} {\\{}DOCUMENT{\\}} {\\{}CLASSIFICATION{\\}}},\nauthor={Matthew Lyle Olson and Lisa Zhang and Chun-Nam Yu},\nyear={2020},\nurl={https://openreview.net/forum?id=ryxW804FPH}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"required": true, "description": "Brief summary of your comment.", "order": 0, "value-regex": ".{1,500}"}, "comment": {"required": true, "description": "Your comment or reply (max 5000 characters). Add TeX formulas using the following formats: $In-line Formula$ or $$Block Formula$$", "order": 1, "value-regex": "[\\S\\s]{1,5000}"}}, "forum": "ryxW804FPH", "readers": {"values-dropdown": ["everyone", "ICLR.cc/2020/Conference/Paper1128/Authors", "ICLR.cc/2020/Conference/Paper1128/AnonReviewer.*", "ICLR.cc/2020/Conference/Paper1128/Reviewers/Submitted", "ICLR.cc/2020/Conference/Paper1128/Reviewers", "ICLR.cc/2020/Conference/Paper1128/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response"}, "writers": {"values-copied": ["ICLR.cc/2020/Conference", "{signatures}"]}, "signatures": {"description": "How your identity will be displayed.", "values-regex": "ICLR.cc/2020/Conference/Paper1128/AnonReviewer[0-9]+|ICLR.cc/2020/Conference/Paper1128/Authors|ICLR.cc/2020/Conference/Paper1128/Area_Chair[0-9]+|ICLR.cc/2020/Conference/Program_Chairs"}}, "readers": ["everyone"], "tcdate": 1569504160809, "tmdate": 1576860557584, "super": "ICLR.cc/2020/Conference/-/Comment", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "invitees": ["ICLR.cc/2020/Conference/Paper1128/Authors", "ICLR.cc/2020/Conference/Paper1128/Reviewers", "ICLR.cc/2020/Conference/Paper1128/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "id": "ICLR.cc/2020/Conference/Paper1128/-/Official_Comment"}}}, {"id": "S1ekex6jjB", "original": null, "number": 2, "cdate": 1573797862801, "ddate": null, "tcdate": 1573797862801, "tmdate": 1573797862801, "tddate": null, "forum": "ryxW804FPH", "replyto": "HkxafCjfqB", "invitation": "ICLR.cc/2020/Conference/Paper1128/-/Official_Comment", "content": {"title": "Thank you for the comments", "comment": "Thank you for taking the time to review our paper. We clarify some points below, and we will add further discussion to the paper.\nIssue: This proposed model is lack of novelty\n\nOur intention with our method is to have a ready to use, simple, and effective model. While other methods have been suggested to incorporate LSTMs with Transformer-based LMs, they are primarily focused on the pre-training step and have not been applied to long document classification. This area of long document classification is a practical problem, yet has received relatively little attention by the research community when compared to other NLP tasks. \n\nIssue: the reason of integration those vectors is not explained and no experiment prove the effectiveness of this setting\n\nThe reason of integration for our ATT-LM method is to iteratively expand upon the other combination strategies. We have updated Figure 2 to reflect this more accurately. We have also run additional experiments with the ablated model to provide justification for the vector integration of ATT-LM. The ablated model performs relatively well, but not better than ATT-BERT.\n\n\nIssue: evaluated on two less studied datasets \n\nOther datasets were purposefully ignored for our setting as they do not illuminate the issues present with Transformer-based LMs, as the input typically does not need to be truncated when used with larger LMs [1]. The idea of co-opting traditional datasets for long document classification has been suggested, E.G. separating the examples in a traditional dataset into many shorter segments much smaller than the maximum input size [2]. But it is not clear how this can be done without hampering the power of a Transformer-based LM. We hope that in future work our chosen datasets will be studied more actively, and that new long document datasets will be created.\n\n\nQ: Why do our models only include h2~hm but exclude h1?\n\nIn our initial development, we found that including h1, instead of h2, produced worse results. We believe this is from the forward direction of h1 not providing any contextual information. Comparatively, the backwards direction of h2 provides enough context that when concatenated with z1 achieve the best performance.\n\nQ: \"As the segment is fixed in each model, why not include all the z1~zm but only include z1?\"\n\nEven though our specific implementation uses a fixed segment size, we designed our model to be more general during training and inference. Despite being able to include z1~zm for the CAT-LM models on our datasets, the size of W (the linear classifier's parameters) scales directly with m. If there were a sufficiently long document, the number of parameters could be unreasonably large. More importantly, by directly using the representation for each z, the linear classifier overfits as demonstrated by our results. Lastly, we include z1 as that text sequence contains the most discriminative features and by including it there is a direct path for gradient updates to the LM.\n\n[1] Radford, Alec, et al. \"Language models are unsupervised multitask learners.\" OpenAI Blog 1.8 (2019).\n[2] https://openreview.net/forum?id=SklnVAEFDB"}, "signatures": ["ICLR.cc/2020/Conference/Paper1128/Authors"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Paper1128/Authors", "ICLR.cc/2020/Conference"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"authorids": ["olsomatt@oregonstate.edu", "lisa.zhang@nokia-bell-labs.com", "cnyu@cs.cornell.edu"], "title": "ADAPTING PRETRAINED LANGUAGE MODELS FOR LONG DOCUMENT CLASSIFICATION", "authors": ["Matthew Lyle Olson", "Lisa Zhang", "Chun-Nam Yu"], "pdf": "/pdf/8d9bc39c3bd1f7daaa26b461701474f8c76ff62b.pdf", "TL;DR": "We acheive state of the art results on long document classication by combining pretrained language models representations with attention.", "abstract": "Pretrained language models (LMs) have shown excellent results in achieving human like performance on many language tasks. However, the most powerful LMs have one significant drawback: a fixed-sized input. With this constraint, these LMs are unable to utilize the full input of long documents. In this paper, we introduce a new framework to handle documents of arbitrary lengths. We investigate the addition of a recurrent mechanism to extend the input size and utilizing attention to identify the most discriminating segment of the input. We perform extensive validating experiments on patent and Arxiv datasets, both of which have long text. We demonstrate our method significantly outperforms state-of-the-art results reported in recent literature.", "code": "https://github.com/cf-anonymous/long_doc", "keywords": ["NLP", "Deep Learning", "Language Models", "Long Document"], "paperhash": "olson|adapting_pretrained_language_models_for_long_document_classification", "original_pdf": "/attachment/c5234f33a859ca1a972aa156862eac7271ce5e9c.pdf", "_bibtex": "@misc{\nolson2020adapting,\ntitle={{\\{}ADAPTING{\\}} {\\{}PRETRAINED{\\}} {\\{}LANGUAGE{\\}} {\\{}MODELS{\\}} {\\{}FOR{\\}} {\\{}LONG{\\}} {\\{}DOCUMENT{\\}} {\\{}CLASSIFICATION{\\}}},\nauthor={Matthew Lyle Olson and Lisa Zhang and Chun-Nam Yu},\nyear={2020},\nurl={https://openreview.net/forum?id=ryxW804FPH}\n}"}, "tags": [], "invitation": {"reply": {"content": {"title": {"required": true, "description": "Brief summary of your comment.", "order": 0, "value-regex": ".{1,500}"}, "comment": {"required": true, "description": "Your comment or reply (max 5000 characters). Add TeX formulas using the following formats: $In-line Formula$ or $$Block Formula$$", "order": 1, "value-regex": "[\\S\\s]{1,5000}"}}, "forum": "ryxW804FPH", "readers": {"values-dropdown": ["everyone", "ICLR.cc/2020/Conference/Paper1128/Authors", "ICLR.cc/2020/Conference/Paper1128/AnonReviewer.*", "ICLR.cc/2020/Conference/Paper1128/Reviewers/Submitted", "ICLR.cc/2020/Conference/Paper1128/Reviewers", "ICLR.cc/2020/Conference/Paper1128/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response"}, "writers": {"values-copied": ["ICLR.cc/2020/Conference", "{signatures}"]}, "signatures": {"description": "How your identity will be displayed.", "values-regex": "ICLR.cc/2020/Conference/Paper1128/AnonReviewer[0-9]+|ICLR.cc/2020/Conference/Paper1128/Authors|ICLR.cc/2020/Conference/Paper1128/Area_Chair[0-9]+|ICLR.cc/2020/Conference/Program_Chairs"}}, "readers": ["everyone"], "tcdate": 1569504160809, "tmdate": 1576860557584, "super": "ICLR.cc/2020/Conference/-/Comment", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "invitees": ["ICLR.cc/2020/Conference/Paper1128/Authors", "ICLR.cc/2020/Conference/Paper1128/Reviewers", "ICLR.cc/2020/Conference/Paper1128/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "id": "ICLR.cc/2020/Conference/Paper1128/-/Official_Comment"}}}, {"id": "HkxafCjfqB", "original": null, "number": 3, "cdate": 1572154901206, "ddate": null, "tcdate": 1572154901206, "tmdate": 1573056541040, "tddate": null, "forum": "ryxW804FPH", "replyto": "ryxW804FPH", "invitation": "ICLR.cc/2020/Conference/Paper1128/-/Official_Review", "content": {"experience_assessment": "I have published in this field for several years.", "rating": "3: Weak Reject", "review_assessment:_checking_correctness_of_experiments": "I carefully checked the experiments.", "review_assessment:_thoroughness_in_paper_reading": "I read the paper at least twice and used my best judgement in assessing the paper.", "title": "Official Blind Review #4", "review": "This paper proposed an attention-based document classifier based on BERT-LSTM structure. Experiments on patent and ArXiv datasets show the structure is slightly better than three baselines. This paper also analyzed the effection of gradient update settings in different models. \n\nThis proposed model is lack of novelty, it applied the attention sum of LSTM output on top of BERT in the document classification task. Although this model concatenated more vectors (original LSTM output, argmax, attention weight) into the final prediction vector, the reason of integration those vectors is not explained and no experiment prove the effectiveness of this setting. The experiments are only evaluated on two less studied datasets which makes the comparison with other works less persuasive, more results on general document classification datasets are needed.\n\nQuestions: \n1. Why the RNN-BERT and the ATT-BERT only include h2~hm but exclude h1? \n2. As the segment is fixed in each model, why not include all the z1~zm but only include z1?\n3. \u201cRecurrent Neural Networks (RNNs) have been used for short text, e.g. sentiment analysis by Socher et al. (2011) \u201c, the cited paper is a recursive neural network. It is not a recurrent neural network.", "review_assessment:_checking_correctness_of_derivations_and_theory": "I assessed the sensibility of the derivations and theory."}, "signatures": ["ICLR.cc/2020/Conference/Paper1128/AnonReviewer4"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Paper1128/AnonReviewer4"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"authorids": ["olsomatt@oregonstate.edu", "lisa.zhang@nokia-bell-labs.com", "cnyu@cs.cornell.edu"], "title": "ADAPTING PRETRAINED LANGUAGE MODELS FOR LONG DOCUMENT CLASSIFICATION", "authors": ["Matthew Lyle Olson", "Lisa Zhang", "Chun-Nam Yu"], "pdf": "/pdf/8d9bc39c3bd1f7daaa26b461701474f8c76ff62b.pdf", "TL;DR": "We acheive state of the art results on long document classication by combining pretrained language models representations with attention.", "abstract": "Pretrained language models (LMs) have shown excellent results in achieving human like performance on many language tasks. However, the most powerful LMs have one significant drawback: a fixed-sized input. With this constraint, these LMs are unable to utilize the full input of long documents. In this paper, we introduce a new framework to handle documents of arbitrary lengths. We investigate the addition of a recurrent mechanism to extend the input size and utilizing attention to identify the most discriminating segment of the input. We perform extensive validating experiments on patent and Arxiv datasets, both of which have long text. We demonstrate our method significantly outperforms state-of-the-art results reported in recent literature.", "code": "https://github.com/cf-anonymous/long_doc", "keywords": ["NLP", "Deep Learning", "Language Models", "Long Document"], "paperhash": "olson|adapting_pretrained_language_models_for_long_document_classification", "original_pdf": "/attachment/c5234f33a859ca1a972aa156862eac7271ce5e9c.pdf", "_bibtex": "@misc{\nolson2020adapting,\ntitle={{\\{}ADAPTING{\\}} {\\{}PRETRAINED{\\}} {\\{}LANGUAGE{\\}} {\\{}MODELS{\\}} {\\{}FOR{\\}} {\\{}LONG{\\}} {\\{}DOCUMENT{\\}} {\\{}CLASSIFICATION{\\}}},\nauthor={Matthew Lyle Olson and Lisa Zhang and Chun-Nam Yu},\nyear={2020},\nurl={https://openreview.net/forum?id=ryxW804FPH}\n}"}, "tags": [], "invitation": {"reply": {"content": {"experience_assessment": {"required": true, "order": 4, "description": "Please make a selection that represents your experience correctly", "value-radio": ["I have published in this field for several years.", "I have published one or two papers in this area.", "I have read many papers in this area.", "I do not know much about this area."]}, "rating": {"value-dropdown": ["1: Reject", "3: Weak Reject", "6: Weak Accept", "8: Accept"], "order": 3, "required": true}, "review_assessment:_checking_correctness_of_experiments": {"required": true, "order": 7, "description": "If no experiments, please select N/A", "value-radio": ["I carefully checked the experiments.", "I assessed the sensibility of the experiments.", "I did not assess the experiments.", "N/A"]}, "review_assessment:_thoroughness_in_paper_reading": {"required": true, "order": 5, "description": "If this is not applicable, please select N/A", "value-radio": ["I read the paper thoroughly.", "I read the paper at least twice and used my best judgement in assessing the paper.", "I made a quick assessment of this paper.", "N/A"]}, "title": {"value-regex": "Official Blind Review #[0-9]+", "order": 1, "required": true, "description": "Please replace NUM with your AnonReviewer number (it is the number following \"AnonReviewer\" in your signatures below)", "default": "Official Blind Review #NUM"}, "review": {"value-regex": "[\\S\\s]{500,200000}", "order": 2, "description": "Provide your complete review here (500 - 200000 characters). For guidance in writing a good review, see this brief reviewer guide (https://iclr.cc/Conferences/2020/ReviewerGuide) with three key bullet points.", "required": true}, "review_assessment:_checking_correctness_of_derivations_and_theory": {"required": true, "order": 6, "description": "If no derivations or theory, please select N/A", "value-radio": ["I carefully checked the derivations and theory.", "I assessed the sensibility of the derivations and theory.", "I did not assess the derivations or theory.", "N/A"]}}, "forum": "ryxW804FPH", "replyto": "ryxW804FPH", "readers": {"values": ["everyone"], "description": "Select all user groups that should be able to read this comment."}, "nonreaders": {"values": []}, "writers": {"values-regex": "ICLR.cc/2020/Conference/Paper1128/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}, "signatures": {"values-regex": "ICLR.cc/2020/Conference/Paper1128/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}}, "expdate": 1574973127557, "duedate": 1572706740000, "multiReply": false, "readers": ["everyone"], "nonreaders": [], "invitees": ["ICLR.cc/2020/Conference/Paper1128/Reviewers"], "noninvitees": [], "tcdate": 1570237741955, "tmdate": 1574973127573, "super": "ICLR.cc/2020/Conference/-/Official_Review", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "id": "ICLR.cc/2020/Conference/Paper1128/-/Official_Review"}}}, {"id": "HkxSKurAYS", "original": null, "number": 1, "cdate": 1571866749223, "ddate": null, "tcdate": 1571866749223, "tmdate": 1572972509192, "tddate": null, "forum": "ryxW804FPH", "replyto": "ryxW804FPH", "invitation": "ICLR.cc/2020/Conference/Paper1128/-/Official_Review", "content": {"experience_assessment": "I have published in this field for several years.", "rating": "3: Weak Reject", "review_assessment:_thoroughness_in_paper_reading": "I read the paper at least twice and used my best judgement in assessing the paper.", "review_assessment:_checking_correctness_of_experiments": "I assessed the sensibility of the experiments.", "title": "Official Blind Review #3", "review_assessment:_checking_correctness_of_derivations_and_theory": "N/A", "review": "The paper presents a methods to combine multiple pre-trained language models using an attention mechanism in order to take the whole document into account. The effectiveness of the methods is evaluated on two long document classification tasks (Arxiv publication and patent classification) with state-of the art results.\n\nPros:\n\n- the effectiveness of the methods is experimentally demonstrated using two relevant datasets\n- the inverted wireless experiment clearly shows the interest of the attention combination strategy \n\nCons:\n\n- the methods is very simple (combining multiple segment prediction to perform document classifications) making the contribution of this paper quite weak. In the own terms of the authors, the \"main contribution [...] is to investigate the effectiveness of different combination strategies\". I am not sure that it is sufficient for the ICLR standards.\n- the paper is difficult to read and should be proofread to improve readability\n\nMinor issues:\n\n- Socher et al (2011) uses recursive neural networks (ReNN) and not recurrent neural networks (RNN). RNN are ReNN but restrained to a linear chain structure\n- In Introduction: ... in the domain extremely complex data that is language ... -> I'm not sure the sentence is correct\n- In Introduction: the last sentence should be shorten and rephrased.\n- many typos "}, "signatures": ["ICLR.cc/2020/Conference/Paper1128/AnonReviewer3"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Paper1128/AnonReviewer3"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"authorids": ["olsomatt@oregonstate.edu", "lisa.zhang@nokia-bell-labs.com", "cnyu@cs.cornell.edu"], "title": "ADAPTING PRETRAINED LANGUAGE MODELS FOR LONG DOCUMENT CLASSIFICATION", "authors": ["Matthew Lyle Olson", "Lisa Zhang", "Chun-Nam Yu"], "pdf": "/pdf/8d9bc39c3bd1f7daaa26b461701474f8c76ff62b.pdf", "TL;DR": "We acheive state of the art results on long document classication by combining pretrained language models representations with attention.", "abstract": "Pretrained language models (LMs) have shown excellent results in achieving human like performance on many language tasks. However, the most powerful LMs have one significant drawback: a fixed-sized input. With this constraint, these LMs are unable to utilize the full input of long documents. In this paper, we introduce a new framework to handle documents of arbitrary lengths. We investigate the addition of a recurrent mechanism to extend the input size and utilizing attention to identify the most discriminating segment of the input. We perform extensive validating experiments on patent and Arxiv datasets, both of which have long text. We demonstrate our method significantly outperforms state-of-the-art results reported in recent literature.", "code": "https://github.com/cf-anonymous/long_doc", "keywords": ["NLP", "Deep Learning", "Language Models", "Long Document"], "paperhash": "olson|adapting_pretrained_language_models_for_long_document_classification", "original_pdf": "/attachment/c5234f33a859ca1a972aa156862eac7271ce5e9c.pdf", "_bibtex": "@misc{\nolson2020adapting,\ntitle={{\\{}ADAPTING{\\}} {\\{}PRETRAINED{\\}} {\\{}LANGUAGE{\\}} {\\{}MODELS{\\}} {\\{}FOR{\\}} {\\{}LONG{\\}} {\\{}DOCUMENT{\\}} {\\{}CLASSIFICATION{\\}}},\nauthor={Matthew Lyle Olson and Lisa Zhang and Chun-Nam Yu},\nyear={2020},\nurl={https://openreview.net/forum?id=ryxW804FPH}\n}"}, "tags": [], "invitation": {"reply": {"content": {"experience_assessment": {"required": true, "order": 4, "description": "Please make a selection that represents your experience correctly", "value-radio": ["I have published in this field for several years.", "I have published one or two papers in this area.", "I have read many papers in this area.", "I do not know much about this area."]}, "rating": {"value-dropdown": ["1: Reject", "3: Weak Reject", "6: Weak Accept", "8: Accept"], "order": 3, "required": true}, "review_assessment:_checking_correctness_of_experiments": {"required": true, "order": 7, "description": "If no experiments, please select N/A", "value-radio": ["I carefully checked the experiments.", "I assessed the sensibility of the experiments.", "I did not assess the experiments.", "N/A"]}, "review_assessment:_thoroughness_in_paper_reading": {"required": true, "order": 5, "description": "If this is not applicable, please select N/A", "value-radio": ["I read the paper thoroughly.", "I read the paper at least twice and used my best judgement in assessing the paper.", "I made a quick assessment of this paper.", "N/A"]}, "title": {"value-regex": "Official Blind Review #[0-9]+", "order": 1, "required": true, "description": "Please replace NUM with your AnonReviewer number (it is the number following \"AnonReviewer\" in your signatures below)", "default": "Official Blind Review #NUM"}, "review": {"value-regex": "[\\S\\s]{500,200000}", "order": 2, "description": "Provide your complete review here (500 - 200000 characters). For guidance in writing a good review, see this brief reviewer guide (https://iclr.cc/Conferences/2020/ReviewerGuide) with three key bullet points.", "required": true}, "review_assessment:_checking_correctness_of_derivations_and_theory": {"required": true, "order": 6, "description": "If no derivations or theory, please select N/A", "value-radio": ["I carefully checked the derivations and theory.", "I assessed the sensibility of the derivations and theory.", "I did not assess the derivations or theory.", "N/A"]}}, "forum": "ryxW804FPH", "replyto": "ryxW804FPH", "readers": {"values": ["everyone"], "description": "Select all user groups that should be able to read this comment."}, "nonreaders": {"values": []}, "writers": {"values-regex": "ICLR.cc/2020/Conference/Paper1128/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}, "signatures": {"values-regex": "ICLR.cc/2020/Conference/Paper1128/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}}, "expdate": 1574973127557, "duedate": 1572706740000, "multiReply": false, "readers": ["everyone"], "nonreaders": [], "invitees": ["ICLR.cc/2020/Conference/Paper1128/Reviewers"], "noninvitees": [], "tcdate": 1570237741955, "tmdate": 1574973127573, "super": "ICLR.cc/2020/Conference/-/Official_Review", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "id": "ICLR.cc/2020/Conference/Paper1128/-/Official_Review"}}}, {"id": "SkxR9kKJ5H", "original": null, "number": 2, "cdate": 1571946389843, "ddate": null, "tcdate": 1571946389843, "tmdate": 1572972509146, "tddate": null, "forum": "ryxW804FPH", "replyto": "ryxW804FPH", "invitation": "ICLR.cc/2020/Conference/Paper1128/-/Official_Review", "content": {"experience_assessment": "I have read many papers in this area.", "rating": "6: Weak Accept", "review_assessment:_thoroughness_in_paper_reading": "I made a quick assessment of this paper.", "review_assessment:_checking_correctness_of_experiments": "I assessed the sensibility of the experiments.", "title": "Official Blind Review #1", "review_assessment:_checking_correctness_of_derivations_and_theory": "N/A", "review": "This paper proposes to compare different methods to build BERT/GPT representations of long documents, to bypass the limitation of the input size of these models. One of the proposed method uses attention mechanism to discover the most significant portion of the text which are use to backpropagate the error on the language model. Three combination methods (concatenation, RNN and attention) are tested on 2 databases plus one modified version of one of the databases to show the impact of the presentation bias in the texts (most important part are at the beginning). \nResults show that the largest improvement is the base BERT model over the previously proposed model : this aspect should be comment : what is the reason of the improvement ? \nCombination of textual part also yields improvement, but to a smaller extend. Hyper-parameter and Training/Testing time are reported, which is useful from a practical point of view if one should decide to implement the proposed method or not, considering the extra computational load and the relatively small improvement. The Shuffling experiment demonstrate an interesting behaviour of the models, that should be confirmed on a real dataset.\n\n "}, "signatures": ["ICLR.cc/2020/Conference/Paper1128/AnonReviewer1"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Paper1128/AnonReviewer1"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"authorids": ["olsomatt@oregonstate.edu", "lisa.zhang@nokia-bell-labs.com", "cnyu@cs.cornell.edu"], "title": "ADAPTING PRETRAINED LANGUAGE MODELS FOR LONG DOCUMENT CLASSIFICATION", "authors": ["Matthew Lyle Olson", "Lisa Zhang", "Chun-Nam Yu"], "pdf": "/pdf/8d9bc39c3bd1f7daaa26b461701474f8c76ff62b.pdf", "TL;DR": "We acheive state of the art results on long document classication by combining pretrained language models representations with attention.", "abstract": "Pretrained language models (LMs) have shown excellent results in achieving human like performance on many language tasks. However, the most powerful LMs have one significant drawback: a fixed-sized input. With this constraint, these LMs are unable to utilize the full input of long documents. In this paper, we introduce a new framework to handle documents of arbitrary lengths. We investigate the addition of a recurrent mechanism to extend the input size and utilizing attention to identify the most discriminating segment of the input. We perform extensive validating experiments on patent and Arxiv datasets, both of which have long text. We demonstrate our method significantly outperforms state-of-the-art results reported in recent literature.", "code": "https://github.com/cf-anonymous/long_doc", "keywords": ["NLP", "Deep Learning", "Language Models", "Long Document"], "paperhash": "olson|adapting_pretrained_language_models_for_long_document_classification", "original_pdf": "/attachment/c5234f33a859ca1a972aa156862eac7271ce5e9c.pdf", "_bibtex": "@misc{\nolson2020adapting,\ntitle={{\\{}ADAPTING{\\}} {\\{}PRETRAINED{\\}} {\\{}LANGUAGE{\\}} {\\{}MODELS{\\}} {\\{}FOR{\\}} {\\{}LONG{\\}} {\\{}DOCUMENT{\\}} {\\{}CLASSIFICATION{\\}}},\nauthor={Matthew Lyle Olson and Lisa Zhang and Chun-Nam Yu},\nyear={2020},\nurl={https://openreview.net/forum?id=ryxW804FPH}\n}"}, "tags": [], "invitation": {"reply": {"content": {"experience_assessment": {"required": true, "order": 4, "description": "Please make a selection that represents your experience correctly", "value-radio": ["I have published in this field for several years.", "I have published one or two papers in this area.", "I have read many papers in this area.", "I do not know much about this area."]}, "rating": {"value-dropdown": ["1: Reject", "3: Weak Reject", "6: Weak Accept", "8: Accept"], "order": 3, "required": true}, "review_assessment:_checking_correctness_of_experiments": {"required": true, "order": 7, "description": "If no experiments, please select N/A", "value-radio": ["I carefully checked the experiments.", "I assessed the sensibility of the experiments.", "I did not assess the experiments.", "N/A"]}, "review_assessment:_thoroughness_in_paper_reading": {"required": true, "order": 5, "description": "If this is not applicable, please select N/A", "value-radio": ["I read the paper thoroughly.", "I read the paper at least twice and used my best judgement in assessing the paper.", "I made a quick assessment of this paper.", "N/A"]}, "title": {"value-regex": "Official Blind Review #[0-9]+", "order": 1, "required": true, "description": "Please replace NUM with your AnonReviewer number (it is the number following \"AnonReviewer\" in your signatures below)", "default": "Official Blind Review #NUM"}, "review": {"value-regex": "[\\S\\s]{500,200000}", "order": 2, "description": "Provide your complete review here (500 - 200000 characters). For guidance in writing a good review, see this brief reviewer guide (https://iclr.cc/Conferences/2020/ReviewerGuide) with three key bullet points.", "required": true}, "review_assessment:_checking_correctness_of_derivations_and_theory": {"required": true, "order": 6, "description": "If no derivations or theory, please select N/A", "value-radio": ["I carefully checked the derivations and theory.", "I assessed the sensibility of the derivations and theory.", "I did not assess the derivations or theory.", "N/A"]}}, "forum": "ryxW804FPH", "replyto": "ryxW804FPH", "readers": {"values": ["everyone"], "description": "Select all user groups that should be able to read this comment."}, "nonreaders": {"values": []}, "writers": {"values-regex": "ICLR.cc/2020/Conference/Paper1128/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}, "signatures": {"values-regex": "ICLR.cc/2020/Conference/Paper1128/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}}, "expdate": 1574973127557, "duedate": 1572706740000, "multiReply": false, "readers": ["everyone"], "nonreaders": [], "invitees": ["ICLR.cc/2020/Conference/Paper1128/Reviewers"], "noninvitees": [], "tcdate": 1570237741955, "tmdate": 1574973127573, "super": "ICLR.cc/2020/Conference/-/Official_Review", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "id": "ICLR.cc/2020/Conference/Paper1128/-/Official_Review"}}}], "count": 8} |
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{"poster":"mechamix927","date":"2016-04-13T19:54:31.127+0000","title":"Keyfragments","subforum":"Hilfe & Support","up_votes":1,"down_votes":1,"body":"I have 3 times S+ in a row with one Champ and I don't become a Keyfragment why Riot?\r\nI don't know how I become it when I don't become Keyfragments by 3 S+ in a row D:\r\n\r\nIch habe 3 mal S+ hintereinander mit einem Champ bekommen und ich bekomme keine Schlüsselfragmente warum Riot?\r\nIch weiß nicht wie ich welche bekommen soll wenn ich keine Schlüsselfragmente bei 3 S+ hintereinander bekomme D:","replies":[{"poster":"legofreak1","date":"2016-04-13T19:57:58.157+0000","up_votes":2,"down_votes":0,"body":"Du bekommst Schlüsselfragmente zufällig wenn du gewinnst, wobei die Chance erhöht ist, wenn du mit Premades spielst und abfällt, je mehr Keyfragments du in diesem Monat schon erhalten hast, bis zu einem Maximum von 4 Keys im Monat.\nDie Leistung in deinem Spiel ist nur für den Erhalt von Kisten wichtig.","replies":[{"poster":"Enderized","date":"2016-04-13T20:21:27.572+0000","up_votes":1,"down_votes":0,"body":"4 Keys im Monat?\nWie kommst du auf 4 Keys?\n\nEs sind 4 Kisten aber doch nicht 4 Keys O.o","replies":[{"poster":"legofreak1","date":"2016-04-13T20:29:53.102+0000","up_votes":3,"down_votes":0,"body":"> [{quoted}](name=kitae,realm=NA,application-id=LqLKtMpN,discussion-id=rJ4rQmHA,comment-id=000600050002,timestamp=2016-03-24T07:34:50.863+0000)\n>\n> We purposefully set the key and chest limit the same, if you earn your free chests and keys and you're done - cool\n\n\nhttp://boards.na.leagueoflegends.com/en/c/bug-report/rJ4rQmHA-after-getting-4-chests-key-fragments-no-longer-seem-to-drop-for-a-lot-of-people?comment=000600050002","replies":[{"poster":"Enderized","date":"2016-04-13T20:38:50.546+0000","up_votes":1,"down_votes":0,"body":"Aso sry- habe dich misverstanden ^^ :facepalm:\n\nDa waren meine Finger wieder schneller als das Hirn. 4 Keys... klar- nicht 4 Schlüsselfragmente :D","replies":[]}]}]}]},{"poster":"mechamix927","date":"2016-04-13T20:26:01.204+0000","up_votes":1,"down_votes":0,"body":"Also ich habe diesen Monat nur 1 Fragment bekommen und ich spiele die ganze zeit mit zwischen 3er - 5er premades deswegen","replies":[]}]} |
{"poster":"MAKEØUTHILL","date":"2018-10-31T22:47:20.185+0000","title":"Por qué los coreanos juegan en modo ventana?","subforum":"Jugabilidad, balance y narrativa","up_votes":4,"down_votes":0,"body":"Da mas skills? Mas fps? Mas vision o algo así?","replies":[{"poster":"bombastico","date":"2018-11-01T00:04:55.887+0000","up_votes":4,"down_votes":0,"body":"Mientras carrean hacen los deberes del colegio/universidad","replies":[]},{"poster":"Theboboblanco","date":"2018-10-31T23:02:01.593+0000","up_votes":4,"down_votes":0,"body":"por que son tan pros que juegan 2 juegos a la vez :'v","replies":[]},{"poster":"Łiquir","date":"2018-11-01T01:25:55.635+0000","up_votes":3,"down_votes":0,"body":"Yo también juego así, es mas facil para ver el minimapa y toda la pantalla por costumbre también","replies":[]}]} |
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{
"forum_title": "Jeppar",
"id": "5140",
"title": "flottur cherokee",
"url": "http://www.jeppaspjall.is/viewtopic.php?f=29&t=5140",
"posts": [
{
"user_name": "joiari",
"text": "til sölu grand cherokee árgerð 1995 keirður 129.xxx mílur allur í leðri og rafmagni 31 tommu dekkjum virkar vel bara þægindi að keira hann þrifin reglulega og allt viðhald í toppstandi lítur vel út....\nset á hann 300 þús skoða samt öll tilbod \nsími 6964210\njóhann",
"date": "2011-06-16 19:52:00",
"post_id": "23935",
"reply_to_id": false
},
{
"user_name": "Ómar",
"text": "Má bjóða þér skifti á 35\"Patrol árg.93 ek.255 ásett ca.350-400",
"date": "2011-06-18 16:19:00",
"post_id": "24041",
"reply_to_id": "23935"
},
{
"user_name": "joiari",
"text": "nei takk",
"date": "2011-06-20 10:02:00",
"post_id": "24110",
"reply_to_id": "24041"
},
{
"user_name": "joiari",
"text": "þarf að losna við hann 250 þús myndir koma í kvöld.",
"date": "2011-06-21 13:05:00",
"post_id": "24179",
"reply_to_id": "24110"
},
{
"user_name": "joiari",
"text": "http://www.facebook.com/media/set/?set= ... 7771&saved",
"date": "2011-06-21 20:51:00",
"post_id": "24208",
"reply_to_id": "24179"
},
{
"user_name": "haffismg",
"text": "bara flottur þessi hef marg oft verið i þessum bara þægindi",
"date": "2011-06-21 20:58:00",
"post_id": "24209",
"reply_to_id": "24208"
},
{
"user_name": "joiari",
"text": "bara bjóða í versta falli segji ég nei :D",
"date": "2011-06-22 19:32:00",
"post_id": "24249",
"reply_to_id": "24209"
},
{
"user_name": "joiari",
"text": "koma svo bjóða í hann þarf að losna við hann sem allra allra fyrst :/",
"date": "2011-06-23 20:07:00",
"post_id": "24300",
"reply_to_id": "24249"
},
{
"user_name": "joiari",
"text": "150 þús ef hann fer í næstu viku óskoðaður...",
"date": "2011-07-07 14:15:00",
"post_id": "25086",
"reply_to_id": "24300"
}
],
"date": "2011-06-16 19:52:00"
} |
{"poster":"TheMostLegend","date":"2016-02-12T21:00:21.588+0000","title":"Hiba a leírásban vagy a kliensben.","subforum":"Hibabejelentés","up_votes":1,"down_votes":0,"body":"A kitiltás jelenleg 35 másodperc, míg a leírásban elvben ez 30 másodpercre csökkent. Eredetileg nem tudom mennyi volt.\r\nA többit nem figyeltem még, de ha itt nem stimm valami, máshol is lehet nem annyi amennyi.","replies":[]} |
{"category": "Administrative", "status": "Case Closed", "case_url": "http://caseinfo.nvsupremecourt.us/public/caseView.do?csIID=24404", "caption": "IN RE: SCR 194 JURY SELECTION", "type": "ADKT", "case_no": "ADKT 0070", "subtype": "ADKT", "parties": [{"Role": "Petitioner", "Party Name": "Administrative Office of the Courts"}], "docket": [{"Type/Subtype": "Administrative Case - Petition", "Description": "Filed Petition.", "Document Number": "83-00010", "Document URL": "/document/view.do?csNameID=24404&csIID=24404&deLinkID=417703&sireDocumentNumber=83-00010", "Date": "09/08/1983", "Pending?": "NA"}, {"Type/Subtype": "Administrative Case - Order Amending Rule", "Description": "Filed Order Amending Nevada Supreme Court Rule 194.", "Document Number": "84-00043", "Document URL": "/document/view.do?csNameID=24404&csIID=24404&deLinkID=417704&sireDocumentNumber=84-00043", "Date": "03/30/1984", "Pending?": "NA"}], "filed.date": "09/08/1983", "metadata": {}} |
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"sn16.6:2.2": "bhaṇḍañca → bhaṇḍuñca (bj) | abhijikañca → ābhiñjikañca (bj, pts-vp-pli1ed, pts-vp-pli2ed, mr); ābhijjikañca (sya-all, km)",
"sn16.6:5.2": "yathābāle yathāmūḷhe yathāakusale → yathā bāle yathā mūḷhe yathā akusale (bj, pts-vp-pli1ed, pts-vp-pli2ed); yathābālaṃ yathāmūḷhaṃ yathāakusalaṃ (?)",
"sn16.6:6.3": "taṃ vo mayaṃ → mayaṃ accayaṃ (bj, sya-all)"
} |
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{"poster":"BoundToAdc","date":"2019-03-30T12:50:19.793+0000","title":"Suche Plat2+ Jungler Für ein Team","subforum":"Clans & Teams","up_votes":1,"down_votes":0,"body":"Hallo meine Name ist TEA Booplord\r\n\r\nWie im Titel schon beschrieben suchen wir für unser Team noch einen Plat2+ Jungler zum Tryouten.\r\n\r\nMomentan besteht das Team aus:\r\n- Top: Dia 4\r\n- Mid: Plat 2\r\n- Adc: Dia 4\r\n- Sup: Dia 4\r\n\r\nDie Trainingszeiten werden mit dem Team verglichen und ebenfalls auch deinen Arbeits- bzw Schulzeiten angepasst!\r\n\r\nWas wir von dir verlangen:\r\n- mind. 16+\r\n- High Plat bzw Dia\r\n- Teamspeak + Headset\r\n- Du bereit bist (wenn du im Team spielen möchtest) dem TEAtimeclub beizutreten. [D.h namen ändern zu (Tea [Insert Name] ) \r\n- Einen soliden Championpool besitzen und auch mal bereit zu sein einen Champ zu spielen den du nicht so gerne hast :3 \r\n\r\nFühlst du dich schon angesprochen? Dann adde mich TEA Booplord oder den Teamleader unter dem Namen TEA Froxy. \r\n\r\nEbenfalls sind kannst du uns unter der TS ip : ts.teatimeclub.de erreichen! \r\n\r\nWir sind offen für Bewerbungen und können auch mal ausnahmen machen ;)\r\n\r\nIch freue mich schon Bekanntschaft mit dir zu machen! Auf eine gute zusammenarbeit :3.\r\n\r\nLiebe Grüße,\r\n\r\nTEA Booplord","replies":[]} |
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{"poster":"emanueelxc","date":"2015-09-22T15:55:47.671+0000","title":"Még mennyit?","subforum":"Általános beszélgetés","up_votes":2,"down_votes":0,"body":"Helló. Ma ahogy hazajöttem a suliból, bekapcsoltam a gépet és elindítottam a lolt. Láttam hogy elkezd valamit számolni, és gondoltam hagyom, mert még úgyis tanulok, meg leckét írok stb. Oké amire kész lettem ránéztem, 21.000 fájl, és még mindig ment feljebb. Ez nem tudom miért van, rendszergazdában futtattam, próbáltam nem rendszergazdában és még a tűzfalat is kikapcsoltam. Nem értem mi a baja, valami ötlet?","replies":[{"poster":"ForDoomhammer","date":"2015-09-27T16:30:59.860+0000","up_votes":1,"down_votes":0,"body":"igen az a megoldás de ha a riot belefektetne egy kis időt a pach-be akkor nem kéne nyelvekkel régiókkal szórakozni de a riot szarik bele leszarja ki játszik a játékával itt fórumon stb jófejek új champek új skinek stb de szarunk a pach re persze","replies":[]},{"poster":"emanueelxc","date":"2015-09-23T11:05:38.220+0000","up_votes":1,"down_votes":0,"body":"Köszönöm a segítséget, átváltottam angolra, és mostmár működik. Akkor tényleg ez a megoldás :)","replies":[]},{"poster":"Captain Razux","date":"2015-09-23T06:06:14.156+0000","up_votes":1,"down_votes":0,"body":"Mindenképpen válts angol kliensre ! Ez a megoldás. Nekem csak ez segített azóta pár perc a patch","replies":[]},{"poster":"Foxy186","date":"2015-09-22T16:04:01.111+0000","up_votes":1,"down_votes":0,"body":"Szia nekem is ez a bajom volt már erre példa valamit csinálnak vagy történt valami és majd megoldják remélem!Gondoltam hogy lehet valami baj lehet neked is meg állt 33%-nál?Mert nálam igen innen gondoltam hogy valami baj lehet.Amikor a múltkor ez volt nálam újra kellet raknom a játékot de szerintem már dolgoznak a problémán.","replies":[{"poster":"emanueelxc","date":"2015-09-22T16:13:52.094+0000","up_votes":1,"down_votes":0,"body":"Erősen remélem, holnap megpróbálom az újratelepítést, köszi. Amúgy nekem 33%-nál csak fájlokat vizsgál, de már ahogy írtam 26ezernél sem áll meg.","replies":[{"poster":"Nemin","date":"2015-09-22T18:44:17.394+0000","up_votes":1,"down_votes":0,"body":"Ezen reinstall nem segít... Sajnos egyetlen gyógyírt tudok, hogy visszaállítod angolra a nyelvet. Szívás a dolog, de a Riot valamiért semmit se tesz az ügy érdekében.","replies":[{"poster":"emanueelxc","date":"2015-09-22T19:17:41.923+0000","up_votes":1,"down_votes":0,"body":"De mi köze van a nyelvnek a frissítéshez? Ezt nem nagyon értem :s","replies":[{"poster":"Nemin","date":"2015-09-22T19:20:22.246+0000","up_votes":1,"down_votes":0,"body":"Őszintén? Fogalmam sincs....\nDe mégis haveromnak (angol lollal) 5 perc és kész, én meg sz*rakodok a magyarral 4-5 órát.","replies":[]}]}]}]}]},{"poster":"Foxy186","date":"2015-09-22T16:28:26.611+0000","up_votes":1,"down_votes":0,"body":"Rendben de azért még várj és nézd meg a holnapot hogy jó lesz e bár te tudod!Örülök hogy segíthetem!Nálam is csak fájlokat vizsgál!{{champion:32}}","replies":[]}]} |
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{ "class":"Dropdown", "desc" : "Tuple Sketches", "array":
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{
"_parentId": "herge",
"name": "Les bijoux de la Castafiore",
"genre": "Bande dessinee",
"publisher": "Herge"
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{"pmid":32319438,"title":"[Facing Covid-19 in Italy: ethics, logistics, and therapeutics on the epidemic's front line].","text":["[Facing Covid-19 in Italy: ethics, logistics, and therapeutics on the epidemic's front line].","Recenti Prog Med","Rosenbaum, Lisa","32319438"],"journal":"Recenti Prog Med","authors":["Rosenbaum, Lisa"],"date":"2020-04-23T11:00:00Z","year":2020,"_id":"32319438","week":"202017|Apr 20 - Apr 26","doi":"10.1701/3347.33179","source":"PubMed","weight":0,"locations":["Italy"],"countries":["Italy"],"countries_codes":["ITA|Italy"],"_version_":1664815087722954752,"score":8.518259,"similar":[{"pmid":32187459,"title":"Facing Covid-19 in Italy - Ethics, Logistics, and Therapeutics on the Epidemic's Front Line.","text":["Facing Covid-19 in Italy - Ethics, Logistics, and Therapeutics on the Epidemic's Front Line.","N Engl J Med","Rosenbaum, Lisa","32187459"],"journal":"N Engl J Med","authors":["Rosenbaum, Lisa"],"date":"2020-03-19T11:00:00Z","year":2020,"_id":"32187459","week":"202012|Mar 16 - Mar 22","doi":"10.1056/NEJMp2005492","source":"PubMed","topics":["Treatment"],"weight":1,"_version_":1664640874542268419,"score":181.78557},{"pmid":32312732,"title":"Covid-19: \"Steady the front line! There is no retreat from here\".","text":["Covid-19: \"Steady the front line! There is no retreat from here\".","BMJ","Muir, Gordon","Boff, Jonathan","32312732"],"journal":"BMJ","authors":["Muir, Gordon","Boff, Jonathan"],"date":"2020-04-22T11:00:00Z","year":2020,"_id":"32312732","week":"202017|Apr 20 - Apr 26","doi":"10.1136/bmj.m1540","source":"PubMed","topics":["General Info"],"weight":1,"_version_":1664714520013045760,"score":70.196335},{"pmid":32300225,"title":"On the front lines of the coronavirus-vaccine battle.","text":["On the front lines of the coronavirus-vaccine battle.","Nature","Gewin, Virginia","32300225"],"journal":"Nature","authors":["Gewin, Virginia"],"date":"2020-04-18T11:00:00Z","year":2020,"_id":"32300225","week":"202016|Apr 13 - Apr 19","doi":"10.1038/d41586-020-01116-y","keywords":["careers","sars-cov-2","vaccines"],"source":"PubMed","topics":["General Info"],"weight":1,"_version_":1664635401361424384,"score":69.806946},{"pmid":32269019,"title":"Social distancing to combat COVID-19: We are all on the front line.","text":["Social distancing to combat COVID-19: We are all on the front line.","CMAJ","Patrick, Kirsten","Stanbrook, Matthew B","Laupacis, Andreas","32269019"],"journal":"CMAJ","authors":["Patrick, Kirsten","Stanbrook, Matthew B","Laupacis, Andreas"],"date":"2020-04-10T11:00:00Z","year":2020,"_id":"32269019","week":"202015|Apr 06 - Apr 12","doi":"10.1503/cmaj.200606","source":"PubMed","topics":["Prevention"],"weight":1,"_version_":1664637315645964290,"score":66.36208},{"pmid":32179517,"title":"On the front lines of coronavirus: the Italian response to covid-19.","text":["On the front lines of coronavirus: the Italian response to covid-19.","BMJ","Paterlini, Marta","32179517"],"journal":"BMJ","authors":["Paterlini, Marta"],"date":"2020-03-18T11:00:00Z","year":2020,"_id":"32179517","week":"202012|Mar 16 - Mar 22","doi":"10.1136/bmj.m1065","link_comment_in":"32217525","source":"PubMed","topics":["General Info"],"weight":1,"locations":["Italian"],"countries":["Italy"],"countries_codes":["ITA|Italy"],"_version_":1664640874610425856,"score":66.36208}]} |
[{"id": 859, "gempId": "8_163", "side": "Dark", "rarity": "U", "set": "8", "printings": [{"set": "8"}], "front": {"title": "\u2022Endor: Ewok Village", "imageUrl": "https://res.starwarsccg.org/cards/Endor-Dark/large/endorewokvillage.gif", "type": "Location", "subType": "Site", "uniqueness": "*", "destiny": "0", "icons": ["Interior", "Exterior", "Planet"], "lightSideIcons": 1, "darkSideIcons": 1, "gametext": "Dark: No starships or vehicles here. If no Ewoks on Endor, Force drain +1 here. Light: No starships or vehicles here. If your Ewok present, Force drain +1 here."}, "pulledBy": ["Establish Secret Base (V)"], "counterpart": "Endor: Ewok Village", "legacy": false}] |
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{"poster":"Pumped Up KiIcks","date":"2015-02-11T13:02:50.126+0000","title":"cuanto les tardo a ustedes???","subforum":"Charlas Generales","up_votes":1,"down_votes":2,"body":"el mio va en 2410 !! xD","replies":[{"poster":"Tromion","date":"2015-02-11T13:54:09.711+0000","up_votes":1,"down_votes":0,"body":"Tuve que reiniciar el cliente 3 veces. Se me queda en 0KBs , pero me pasa en todas las actualizaciones, no se porque..","replies":[]},{"poster":"gunns","date":"2015-02-11T13:11:49.504+0000","up_votes":1,"down_votes":0,"body":"Ya se me termino de actualizar, funciona en la segunda","replies":[]},{"poster":"gunns","date":"2015-02-11T13:07:43.973+0000","up_votes":1,"down_votes":0,"body":"A mi me llego a 3000 y empezo a bajar de vuelta la segunda parte, osea, empieza despues del 33% y son alrededor de 110 MB, si tu internet es lenta gg, porque es lo que bajo antes, y de vuelta","replies":[]}]} |
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{"bookHeader":"","bookName":"LAMENTAÇÕES 3","bookContent":[{"id":0,"tipo":"calling","texto":"Convidado o povo a reconhecer o seu pecado"},{"id":1,"tipo":"versiculo","texto":"Eu sou o homem que viu a aflição pela vara do furor de Deus."},{"id":2,"tipo":"versiculo","texto":"Ele me levou e me fez andar em trevas e não na luz."},{"id":3,"tipo":"versiculo","texto":"Deveras ele volveu contra mim a mão, de contínuo, todo o dia."},{"id":4,"tipo":"versiculo","texto":"Fez envelhecer a minha carne e a minha pele, despedaçou os meus ossos."},{"id":5,"tipo":"versiculo","texto":"Edificou contra mim e me cercou de veneno e de dor."},{"id":6,"tipo":"versiculo","texto":"Fez-me habitar em lugares tenebrosos, como os que estão mortos para sempre."},{"id":7,"tipo":"versiculo","texto":"Cercou-me de um muro, e já não posso sair; agravou-me com grilhões de bronze."},{"id":8,"tipo":"versiculo","texto":"Ainda quando clamo e grito, ele não admite a minha oração."},{"id":9,"tipo":"versiculo","texto":"Fechou os meus caminhos com pedras lavradas, fez tortuosas as minhas veredas."},{"id":10,"tipo":"versiculo","texto":"Fez-se-me como urso à espreita, um leão de emboscada."},{"id":11,"tipo":"versiculo","texto":"Desviou os meus caminhos e me fez em pedaços; deixou-me assolado."},{"id":12,"tipo":"versiculo","texto":"Entesou o seu arco e me pôs como alvo à flecha."},{"id":13,"tipo":"versiculo","texto":"Fez que me entrassem no coração as flechas da sua aljava."},{"id":14,"tipo":"versiculo","texto":"Fui feito objeto de escárnio para todo o meu povo e a sua canção, todo o dia."},{"id":15,"tipo":"versiculo","texto":"Fartou-me de amarguras, saciou-me de absinto."},{"id":16,"tipo":"versiculo","texto":"Fez-me quebrar com pedrinhas de areia os meus dentes, cobriu-me de cinza."},{"id":17,"tipo":"versiculo","texto":"Afastou a paz de minha alma; esqueci-me do bem."},{"id":18,"tipo":"versiculo","texto":"Então, disse eu: já pereceu a minha glória, como também a minha esperança no SENHOR."},{"id":19,"tipo":"versiculo","texto":"Lembra-te da minha aflição e do meu pranto, do absinto e do veneno."},{"id":20,"tipo":"versiculo","texto":"Minha alma, continuamente, os recorda e se abate dentro de mim."},{"id":21,"tipo":"versiculo","texto":"Quero trazer à memória o que me pode dar esperança."},{"id":21,"tipo":"calling","texto":"Esperança de auxílio pela misericórdia de Deus"},{"id":22,"tipo":"versiculo","texto":"As misericórdias do SENHOR são a causa de não sermos consumidos, porque as suas misericórdias não têm fim;"},{"id":23,"tipo":"versiculo","texto":"renovam-se cada manhã. Grande é a tua fidelidade."},{"id":24,"tipo":"versiculo","texto":"A minha porção é o SENHOR, diz a minha alma; portanto, esperarei nele."},{"id":25,"tipo":"versiculo","texto":"Bom é o SENHOR para os que esperam por ele, para a alma que o busca."},{"id":26,"tipo":"versiculo","texto":"Bom é aguardar a salvação do SENHOR, e isso, em silêncio."},{"id":27,"tipo":"versiculo","texto":"Bom é para o homem suportar o jugo na sua mocidade."},{"id":28,"tipo":"versiculo","texto":"Assente-se solitário e fique em silêncio; porquanto esse jugo Deus pôs sobre ele;"},{"id":29,"tipo":"versiculo","texto":"ponha a boca no pó; talvez ainda haja esperança."},{"id":30,"tipo":"versiculo","texto":"Dê a face ao que o fere; farte-se de afronta."},{"id":31,"tipo":"versiculo","texto":"O Senhor não rejeitará para sempre;"},{"id":32,"tipo":"versiculo","texto":"pois, ainda que entristeça a alguém, usará de compaixão segundo a grandeza das suas misericórdias;"},{"id":33,"tipo":"versiculo","texto":"porque não aflige, nem entristece de bom grado os filhos dos homens."},{"id":34,"tipo":"versiculo","texto":"Pisar debaixo dos pés a todos os presos da terra,"},{"id":35,"tipo":"versiculo","texto":"perverter o direito do homem perante o Altíssimo,"},{"id":36,"tipo":"versiculo","texto":"subverter ao homem no seu pleito, não o veria o Senhor?"},{"id":37,"tipo":"versiculo","texto":"Quem é aquele que diz, e assim acontece, quando o Senhor o não mande?"},{"id":38,"tipo":"versiculo","texto":"Acaso, não procede do Altíssimo tanto o mal como o bem?"},{"id":39,"tipo":"versiculo","texto":"Por que, pois, se queixa o homem vivente? Queixe-se cada um dos seus próprios pecados."},{"id":40,"tipo":"versiculo","texto":"Esquadrinhemos os nossos caminhos, provemo-los e voltemos para o SENHOR."},{"id":41,"tipo":"versiculo","texto":"Levantemos o coração, juntamente com as mãos, para Deus nos céus, dizendo:"},{"id":42,"tipo":"versiculo","texto":"Nós prevaricamos e fomos rebeldes, e tu não nos perdoaste."},{"id":43,"tipo":"versiculo","texto":"Cobriste-nos de ira e nos perseguiste; e sem piedade nos mataste."},{"id":44,"tipo":"versiculo","texto":"De nuvens te encobriste para que não passe a nossa oração."},{"id":45,"tipo":"versiculo","texto":"Como cisco e refugo nos puseste no meio dos povos."},{"id":46,"tipo":"versiculo","texto":"Todos os nossos inimigos abriram contra nós a boca."},{"id":47,"tipo":"versiculo","texto":"Sobre nós vieram o temor e a cova, a assolação e a ruína."},{"id":48,"tipo":"versiculo","texto":"Dos meus olhos se derramam torrentes de águas, por causa da destruição da filha do meu povo."},{"id":49,"tipo":"versiculo","texto":"Os meus olhos choram, não cessam, e não há descanso,"},{"id":50,"tipo":"versiculo","texto":"até que o SENHOR atenda e veja lá do céu."},{"id":51,"tipo":"versiculo","texto":"Os meus olhos entristecem a minha alma, por causa de todas as filhas da minha cidade."},{"id":52,"tipo":"versiculo","texto":"Caçaram-me, como se eu fosse ave, os que sem motivo são meus inimigos."},{"id":53,"tipo":"versiculo","texto":"Para me destruírem, lançaram-me na cova e atiraram pedras sobre mim."},{"id":54,"tipo":"versiculo","texto":"Águas correram sobre a minha cabeça; então, disse: estou perdido!"},{"id":55,"tipo":"versiculo","texto":"Da mais profunda cova, SENHOR, invoquei o teu nome."},{"id":56,"tipo":"versiculo","texto":"Ouviste a minha voz; não escondas o ouvido aos meus lamentos, ao meu clamor."},{"id":57,"tipo":"versiculo","texto":"De mim te aproximaste no dia em que te invoquei; disseste: Não temas."},{"id":58,"tipo":"versiculo","texto":"Pleiteaste, Senhor, a causa da minha alma, remiste a minha vida."},{"id":59,"tipo":"versiculo","texto":"Viste, SENHOR, a injustiça que me fizeram; julga a minha causa."},{"id":60,"tipo":"versiculo","texto":"Viste a sua vingança toda, todos os seus pensamentos contra mim."},{"id":61,"tipo":"versiculo","texto":"Ouviste as suas afrontas, SENHOR, todos os seus pensamentos contra mim;"},{"id":62,"tipo":"versiculo","texto":"as acusações dos meus adversários e o seu murmurar contra mim, o dia todo."},{"id":63,"tipo":"versiculo","texto":"Observa-os quando se assentam e quando se levantam; eu sou objeto da sua canção."},{"id":64,"tipo":"versiculo","texto":"Tu lhes darás a paga, SENHOR, segundo a obra das suas mãos."},{"id":65,"tipo":"versiculo","texto":"Tu lhes darás cegueira de coração, a tua maldição imporás sobre eles."},{"id":66,"tipo":"versiculo","texto":"Na tua ira, os perseguirás, e eles serão eliminados de debaixo dos céus do SENHOR."}]} |
["51e26a48ffda4068d5c13ba626360548a3f609fe","e62c0fcf4fd746887f62e31a6243ba3c968058ce","cd96b868ac87e754d142e0dbeeeeb93a669ca5da"] |
{"poster":"Valeeva","date":"2017-05-16T10:49:18.327+0000","title":"Config Keybind changes with new client","subforum":"[ARCHIVED] Help & Support","up_votes":1,"down_votes":0,"body":"Whenever I've made a new account I've always copy-pasted my config and persistent settings files over between accounts while in a custom game to change all my keybinds at once. \n\nI've noticed on the new client this doesn't seem to work and I need a work around, mostly because I used left click as AttackMoveClick which you cant set within the game or client themselves as it it doesn't recognise MB1 as an actual useable bind. \n\nOr is there a way to implement a \"Client Specific Binds\" option where I can play all my accounts with the same keybinds since they are never used on anything by my PC.","replies":[{"poster":"Porocles","date":"2017-05-16T18:24:58.692+0000","up_votes":1,"down_votes":0,"body":"The bindings that you're using are intended for reserved keys, so it's definitely possible to run into issues like this. We don't support these kinds of modification, so I wouldn't know how to help fix this up aside from resetting your config to default.\n\nLog into the game client.\nNavigate to C:\\Riot Games\\League of Legends\\Config\nDelete the file named **game.cfg** and **persistedsettings.json**\nGo into a custom game and verify that settings have saved properly. Leave game to sync settings. \n\nFrom there you can rebind your keys, though I wouldn't recommend making unintended modifications as it's possible to run into these issues again.","replies":[{"poster":"Valeeva","date":"2017-05-19T21:51:34.755+0000","up_votes":1,"down_votes":0,"body":"Thanks, sorry for the late reply but I figured it out too before seeing this post. I've been using these weird binds for years and never encountered an issue but I'll always bare it in mind.","replies":[]}]}]} |
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"title": "Heaters",
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"content": "<p>Winter is coming! During the contest, your first job is to design a standard heater with a fixed warm radius to warm all the houses.</p>\n\n<p>Every house can be warmed, as long as the house is within the heater's warm radius range. </p>\n\n<p>Given the positions of <code>houses</code> and <code>heaters</code> on a horizontal line, return <em>the minimum radius standard of heaters so that those heaters could cover all houses.</em></p>\n\n<p><strong>Notice</strong> that all the <code>heaters</code> follow your radius standard, and the warm radius will the same.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> houses = [1,2,3], heaters = [2]\n<strong>Output:</strong> 1\n<strong>Explanation:</strong> The only heater was placed in the position 2, and if we use the radius 1 standard, then all the houses can be warmed.\n</pre>\n\n<p><strong>Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> houses = [1,2,3,4], heaters = [1,4]\n<strong>Output:</strong> 1\n<strong>Explanation:</strong> The two heater was placed in the position 1 and 4. We need to use radius 1 standard, then all the houses can be warmed.\n</pre>\n\n<p><strong>Example 3:</strong></p>\n\n<pre>\n<strong>Input:</strong> houses = [1,5], heaters = [2]\n<strong>Output:</strong> 3\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 <= houses.length, heaters.length <= 3 * 10<sup>4</sup></code></li>\n\t<li><code>1 <= houses[i], heaters[i] <= 10<sup>9</sup></code></li>\n</ul>\n",
"translatedTitle": "供暖器",
"translatedContent": "<p>冬季已经来临。 你的任务是设计一个有固定加热半径的供暖器向所有房屋供暖。</p>\n\n<p>在加热器的加热半径范围内的每个房屋都可以获得供暖。</p>\n\n<p>现在，给出位于一条水平线上的房屋 <code>houses</code> 和供暖器 <code>heaters</code> 的位置，请你找出并返回可以覆盖所有房屋的最小加热半径。</p>\n\n<p><strong>说明</strong>：所有供暖器都遵循你的半径标准，加热的半径也一样。</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入:</strong> houses = [1,2,3], heaters = [2]\n<strong>输出:</strong> 1\n<strong>解释:</strong> 仅在位置2上有一个供暖器。如果我们将加热半径设为1，那么所有房屋就都能得到供暖。\n</pre>\n\n<p><strong>示例 2:</strong></p>\n\n<pre>\n<strong>输入:</strong> houses = [1,2,3,4], heaters = [1,4]\n<strong>输出:</strong> 1\n<strong>解释:</strong> 在位置1, 4上有两个供暖器。我们需要将加热半径设为1，这样所有房屋就都能得到供暖。\n</pre>\n\n<p><strong>示例 3：</strong></p>\n\n<pre>\n<strong>输入：</strong>houses = [1,5], heaters = [2]\n<strong>输出：</strong>3\n</pre>\n\n<p> </p>\n\n<p><strong>提示：</strong></p>\n\n<ul>\n\t<li><code>1 <= houses.length, heaters.length <= 3 * 10<sup>4</sup></code></li>\n\t<li><code>1 <= houses[i], heaters[i] <= 10<sup>9</sup></code></li>\n</ul>\n",
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{"title":"道明寺歌鈴「貴方の瞳に映る、線香花火」","url":"http://ss-station.2chblog.jp/archives/51618822.html","time":"2017-07-03 04:03:11 UTC"} |
{"poster":"IMadeMarmite","date":"2016-09-14T10:27:59.164+0000","title":"Remake doesn't count for queues?!?!","subforum":"[ARCHIVED] Help & Support","up_votes":1,"down_votes":0,"body":"I was playing with a friend and was working off my queues for AFK Behaviour and when we had an AFK and had to remake The queue didn't count... so now have to wait another 20 Minutes to play again and i still have another Queue after this.. Please Help Riot","replies":[{"poster":"Targons Blade","date":"2016-09-14T18:13:02.687+0000","up_votes":1,"down_votes":0,"body":"They do not. A match only counts towards resolving your low-priority queue if it is a complete match, which a remade match is not. Check out our [/Remake FAQ](https://support.riotgames.com/hc/en-us/articles/208754686--Remake-FAQ) for more details on the system. \n\nLet me know if you have any questions.","replies":[]}]} |
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{"poster":"Trinnity","date":"2019-06-21T23:42:55.778+0000","title":"Problemas con los FPS","subforum":"Problemas Técnicos","up_votes":2,"down_votes":0,"body":"En todas mis partidas en la grieta o en aram, al minuto 8 aproximadamente los FPS se bajan terriblemente a 10 o 5 o menos , durante unos 2 minutos, esto ya ocurre un par de parches atrás, no se cual sea el problema, ya hice una limpieza en la pc y y una arreglada, pero antes no tenia este problema, me gustaría q me ayudaran por favor, 2 minutos aprox, es mucho tiempo sin poder hacer nada\r\nGracias","replies":[{"poster":"SpaceSoviet","date":"2019-06-22T06:20:34.215+0000","up_votes":1,"down_votes":0,"body":"Juga en modo ventana y em , me podrias decir que procesador tienes ?","replies":[]},{"poster":"RulokoSkeree","date":"2019-06-22T03:33:46.910+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Trinnity,realm=LAS,application-id=X54mVVp0,discussion-id=ofLg0XlT,comment-id=,timestamp=2019-06-21T23:42:55.778+0000)\n>\n> En todas mis partidas en la grieta o en aram, al minuto 8 aproximadamente los FPS se bajan terriblemente a 10 o 5 o menos , durante unos 2 minutos, esto ya ocurre un par de parches atrás, no se cual sea el problema, ya hice una limpieza en la pc y y una arreglada, pero antes no tenia este problema, me gustaría q me ayudaran por favor, 2 minutos aprox, es mucho tiempo sin poder hacer nada\n> Gracias","replies":[]}]} |
{
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"version": "0.1.0",
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"main": "turing.js",
"scripts": {
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"author": "Matthias Mülhaupt <matthias.muelhaupt@gmail.com>",
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{"poster":"pepi99 manc0","date":"2017-11-21T02:29:21.988+0000","title":"Nos estan tomando el pelo?","subforum":"Charlas Generales","up_votes":81,"down_votes":19,"body":"como se les ocurre cambiar a de 575 exp a 400 exp mas 50 de Ea por la primera victoria del dia? , 175 exp equivalen a 50 de EA para ustedes, 175 de exp es como una partida entera y ustedes lo ponen por eso? si van a cambiar algo por que la gente se queja cambienlo bien si no dejenlo como estaba, ya el juego esta muriendo con los cambios estos que segun ustedes estan perdiendo ganancias :) ojala perdieramos EA como ustedes pierden ganancias, Ya tendria todos los champs y EA para regalar si fuera asi","replies":[{"poster":"l l","date":"2017-11-21T04:48:49.191+0000","up_votes":21,"down_votes":6,"body":"Sinceramente es mas facil conseguir campeones ahora que antes, se los dice alguien que juega hace mas de 4 temporadas, no se por que tantas quejas la verdad.\nSi fuera quejas en cuanto al metagame si las entenderia que personalmente prefiero las runas y maestrias antiguas, pero ahora mismo se puede subir de lvl 1 al 30 tres veces mas rapido que cuando yo empece a jugar, y las runas ahora son totalmente gratis, asi que llegas al 30 con mas champs debido a que no hay que gastar 15k de pi en hacer las 2 pag basicas de runas.","replies":[{"poster":"LukiniiSabe","date":"2017-11-21T05:51:31.443+0000","up_votes":6,"down_votes":2,"body":"> [{quoted}](name=Reportador,realm=LAS,application-id=v7qsfXsE,discussion-id=5fPIqgZE,comment-id=0008,timestamp=2017-11-21T04:48:49.191+0000)\n>\n> Sinceramente es mas facil conseguir campeones ahora que antes, se los dice alguien que juega hace mas de 4 temporadas, no se por que tantas quejas la verdad.\n> Si fuera quejas en cuanto al metagame si las entenderia que personalmente prefiero las runas y maestrias antiguas, pero ahora mismo se puede subir de lvl 1 al 30 tres veces mas rapido que cuando yo empece a jugar, y las runas ahora son totalmente gratis, asi que llegas al 30 con mas champs debido a que no hay que gastar 15k de pi en hacer las 2 pag basicas de runas.\n\nademas eso, solo tenes que pagar por las paginas, y basicamente el juego te pone paginas pre fabricadas en el caso de que no tengas, se me hace que solo le gusta quejarse a la gente, por que en solo 2 semanas, consegui alrededor de 15 campeones y no estoy exagerando, para mi toda esta gente D: es la que se gasto toda la esencia regalada en la tienda :v con los gestos y urfwick","replies":[{"poster":"pepi99 manc0","date":"2017-11-22T02:05:09.131+0000","up_votes":4,"down_votes":0,"body":"> [{quoted}](name=LukiniiSabe,realm=LAS,application-id=v7qsfXsE,discussion-id=5fPIqgZE,comment-id=00080000,timestamp=2017-11-21T05:51:31.443+0000)\n>\n> ademas eso, solo tenes que pagar por las paginas, y basicamente el juego te pone paginas pre fabricadas en el caso de que no tengas, se me hace que solo le gusta quejarse a la gente, por que en solo 2 semanas, consegui alrededor de 15 campeones y no estoy exagerando, para mi toda esta gente D: es la que se gasto toda la esencia regalada en la tienda :v con los gestos y urfwick\n\nnadie te regala nada, esa esencia que gaste es la que yo mismo ahorre y la que me dan ellos por las runas son las que yo mismo compre no es un regalo que hicieron no te confundas","replies":[]}]},{"poster":"AlexDeLarge123","date":"2017-11-22T04:08:37.186+0000","up_votes":3,"down_votes":0,"body":"> [{quoted}](name=Reportador,realm=LAS,application-id=v7qsfXsE,discussion-id=5fPIqgZE,comment-id=0008,timestamp=2017-11-21T04:48:49.191+0000)\n>\n> Sinceramente es mas facil conseguir campeones ahora que antes, se los dice alguien que juega hace mas de 4 temporadas, no se por que tantas quejas la verdad.\n> Si fuera quejas en cuanto al metagame si las entenderia que personalmente prefiero las runas y maestrias antiguas, pero ahora mismo se puede subir de lvl 1 al 30 tres veces mas rapido que cuando yo empece a jugar, y las runas ahora son totalmente gratis, asi que llegas al 30 con mas champs debido a que no hay que gastar 15k de pi en hacer las 2 pag basicas de runas.\n\nRespecto a las ''runas'' me parecen una estafa, ahora literalmente te están obligando a comprarte una página de ''runas'' adicional. \nAdemás ni siquiera son runas, sino son simplemente maestrías con el nombre de ''Runas reforjadas''. Habría que ser bien estúpido/lamebotas o jamás haber visto una runa en su vida para creerse el cuento de las ''runas reforjadas''.","replies":[]},{"poster":"rulasho lacer","date":"2017-11-21T22:26:40.564+0000","up_votes":3,"down_votes":0,"body":"no me vengas con eso juego hace mas tiempo y ahora es un asco la esencia azul si juegas varias horas seguidas no se te retroalimenta como mereces <3","replies":[]},{"poster":"WilfreCheesemice","date":"2017-11-21T13:58:49.468+0000","up_votes":4,"down_votes":1,"body":"Es cierto, pero lo estresante es que es difícil subir el nivel, la sensación no es la misma, parece que no ganas nada, porque la xp que te dan es una \nM.....\nYo juego desde s5, pero la verdad no me gustan los cambios, las runas son voladas, osea, no podes encontrar una bien si no te pones a leerlas como 20 veces, y ahora que te van a poner menos xp me dan ganas de ahorcarlos.","replies":[]},{"poster":"TMaD LiL Zôkï","date":"2017-11-21T19:45:28.793+0000","up_votes":2,"down_votes":0,"body":"ídolo ,al fin 1 persona que sabe lo que dice.. que entiende lo que piensa la gente que sabe. dios mio ,mil gracias por el comentario me leíste la mente.. y yo no soy challenger para darme cuentaa","replies":[{"poster":"rulasho lacer","date":"2017-11-21T22:29:27.068+0000","up_votes":2,"down_votes":0,"body":"> [{quoted}](name=TMaD LiL Zôkï,realm=LAS,application-id=v7qsfXsE,discussion-id=5fPIqgZE,comment-id=00080004,timestamp=2017-11-21T19:45:28.793+0000)\n>\n> ídolo ,al fin 1 persona que sabe lo que dice.. que entiende lo que piensa la gente que sabe. dios mio ,mil gracias por el comentario me leíste la mente.. y yo no soy challenger para darme cuentaa\n\nyo tengo casi todos los champ pero comprar uno de 6300 es una odisea","replies":[]}]},{"poster":"3agle","date":"2017-11-21T11:54:25.347+0000","up_votes":2,"down_votes":0,"body":"Incluyendo que comprar los campeones cuando estos te salen en capsulas sale mas baratos que comprarlos en tienda, me habia salido lissandra y me salia como 4000 esencia hacerla permanente xd.","replies":[{"poster":"Zafphlyn","date":"2017-11-21T14:01:09.497+0000","up_votes":2,"down_votes":0,"body":"Te ahorras el valor del fragmento en esencias basicamente, mejorar una de 1260 te ahorra 1260 de esencias (contando con los EA que cuesta el fragmento y que no vas a desencantar)","replies":[]}]},{"poster":"Valtrius","date":"2017-11-22T09:31:10.599+0000","up_votes":1,"down_votes":0,"body":"Pregunto por curiosidad nomás, en qué nos beneficia a nosotros el \"subir más rápido del 1 al 30\", cuando hace 5 season estamos en lvl 30? No sé... Y ya tengo todos los campeones hace años, besos.","replies":[]}]},{"poster":"ASESINO94LF3","date":"2017-11-21T03:03:10.481+0000","up_votes":8,"down_votes":1,"body":"El mundo se comsume en dinero","replies":[{"poster":"nazareno 567","date":"2017-11-21T13:43:15.359+0000","up_votes":3,"down_votes":1,"body":"> [{quoted}](name=ASESINO94LF3,realm=LAS,application-id=v7qsfXsE,discussion-id=5fPIqgZE,comment-id=0001,timestamp=2017-11-21T03:03:10.481+0000)\n>\n> El mundo se comsume en dinero\n\nhttps://imgur.com/a/M1dAL","replies":[]}]},{"poster":"Liosha","date":"2017-11-21T13:08:49.528+0000","up_votes":7,"down_votes":1,"body":"A mi el nuevo sistema no me convence, el hecho de subir de nivel infinitamente es para desviar la atención de lo que antes era ganar PI, lo de los niveles solo sirve como excusa para que juegues mas y que te tiren una caja insulsa con campeones que dan muy poca EA. Sacaron la fusion de tres fragmentos para que se te haga mas complicado conseguir un campeón y cargues RP antes que esperar... El cambio de los 175 de xp por 50 EA es un insulto. La tienda de EA es una chorrada jajaja los precios en EA están por las nubes. La gente que se queja marca el rumbo de las decisiones que tome la empresa, no me parece mal como usuario. Ellos querían Feedback, acá lo tienen.... la gente que no se queja o gasta mucho por que lo tiene y puede, o son conformistas asquerosos y super fanáticos, o tienen todos los campeones y lo anterior antes dicho. Sigamos haciéndonos escuchar, no nos pisemos entre nosotros que no vale la pena.","replies":[]},{"poster":"iFraan","date":"2017-11-21T05:20:26.266+0000","up_votes":4,"down_votes":5,"body":"Cada 5 partidas pasas de nivel y te dan 820ea como minimo. Sacabas antes 820pi en 5 partidas?","replies":[{"poster":"Tsume Asterisk","date":"2017-11-21T06:11:12.131+0000","up_votes":2,"down_votes":0,"body":"Solo si compraba boosts de pi como tú compras boosts de exp. Es imposible subir de nivel en solo 5 partidas, ni que dieran 400 exp por cada una","replies":[{"poster":"rokushoger","date":"2017-11-21T12:51:42.091+0000","up_votes":4,"down_votes":0,"body":"Técnicamente si es posible si todas las partidas son first win. Los que jugamos poco nos pasa eso, en 5 partidas subimos, pero 5 partidas son 5 días.","replies":[{"poster":"Gatito Jugon","date":"2017-11-22T01:49:01.619+0000","up_votes":3,"down_votes":0,"body":"Entonces salis perdiendo con el nuevo sistema. \nSi en 5 dias subis de nivel con la 1era victoria para ganar 810 de EA no rinde para nada. Antes, con el PI, 5 1era victorias ganabas 1625pi con un promedio de 325 por partida... es indefendible el nuevo sistema.","replies":[{"poster":"rokushoger","date":"2017-11-22T10:42:55.003+0000","up_votes":2,"down_votes":0,"body":"Ganaba un poco menos porque en general juego aram, pero si, tenés razón. A mi no me favorece el nuevo sistema. Y detesto el punto de tener que esforzarme para que la recompensa sea totalmente random.","replies":[]}]},{"poster":"Tukih","date":"2017-11-21T20:14:06.910+0000","up_votes":2,"down_votes":0,"body":"a mi me dan como 700 exp con la first win en una normal el resto me tira 150 de exp y no uso boost no se de que se quejan todos.. ademas bajaron la cantidad de exp para subir y te dan 820 de ea minimo por nivel es mas cada 10 niveles te dan una supercapsula.... no se por que lloran tanto dude{{sticker:slayer-jinx-unamused}}","replies":[]}]}]},{"poster":"LyghtSh","date":"2017-11-22T02:06:11.226+0000","up_votes":2,"down_votes":0,"body":"Si jugabas al menos una vez al dia contra bots seguro sacabas unos 200 pi, 200 x 5 = 1000 pi \nAdemas que los ganas en el momento, no como ahora, yo subi de nivel y me quede a 300 de Zoe, voy a tener que fumarme 5 partidas hasta que pueda volver a conseguir lo que me falta","replies":[]},{"poster":"Thotiana","date":"2017-11-21T06:42:53.904+0000","up_votes":1,"down_votes":0,"body":"***","replies":[{"poster":"iFraan","date":"2017-11-21T08:05:56.376+0000","up_votes":3,"down_votes":1,"body":"> [{quoted}](name=Takah Kazuya,realm=LAS,application-id=v7qsfXsE,discussion-id=5fPIqgZE,comment-id=000a0001,timestamp=2017-11-21T06:42:53.904+0000)\n>\n> es de 15 a 25 partidas si jugas gratis. si pagas por doble exp boost y victory boost si podes sacar nivel en 5 partidas...\n\nJugando 5 partidas por dia pasas un nivel, contando la primera victoria del dia, sino son 3 mas para equiparar exp. Tampoco se necesita tanta exp para pasar de nivel en estos niveles relativamente bajos..\nY no, ningun boost.","replies":[]}]}]},{"poster":"Darwin","date":"2017-11-21T13:16:55.342+0000","up_votes":5,"down_votes":1,"body":"En 10 dias, 400 ea, - 1750 de exp. Negocion. {{sticker:slayer-jinx-unamused}}","replies":[]},{"poster":"Garoü","date":"2017-11-21T08:07:15.347+0000","up_votes":5,"down_votes":2,"body":"Alguien se acuerda de que el juego trata de subir ligas? o todos quedaron estupidizados con subir de nivel?","replies":[{"poster":"LyghtSh","date":"2017-11-22T02:05:47.712+0000","up_votes":3,"down_votes":0,"body":"para subir de ligas necesitas campeones, para conseguir campeones necesitas esencia, para conseguir esencia tenes que subir de nivel.","replies":[]}]},{"poster":"iTz DarkMind","date":"2017-11-21T12:39:12.602+0000","up_votes":3,"down_votes":0,"body":"La actualización de EA desfavorece en gran medida a los nuevos jugadores, los que ya eran nivel 30, no se mes hace tan complicado. A mi me gustó el cambio a EA, la verdad ya tengo los campeones que mas me atraen y en estos momentos no está en mis prioridades dentro del juego tener todos los campeones, que si, esta claro que todo se ha vuelto más caro, pero el juego sigue siendo F2P, para todas las personas que dicen que cada vez se convierte en un P2P, analicen un juego pay-to-play y me cuentan ya que no es nada parecido a esto.","replies":[]},{"poster":"Nabuze","date":"2017-11-21T16:39:25.330+0000","up_votes":4,"down_votes":1,"body":"A ver ponganse en el lugar de la empresa de nuestro querido juego, si la empresa está perdiendo ganancias es por algo, si pierde ganancias es porque salimos demasiado beneficiados, si usaron las esencias para comprar cosas que son pagas y no tienen esencia para campeones es problema de cada uno. La empresa pierde y nos quedamos sin juego y este juego es el laburo de algunos pocos y el entretenimiento de muchos, sólo estamos en pre season dejense de ser tan egoístas y aguanten a que riot pueda compensar las ganancias que pierden con contenido nuevo. Seguro la mayoría que se queja no ha pagado ni 1 punto de rp para contribuir, los servidores no se mantienen del aire y el personal tampoco. En lo que va del año riot nos ha dado muchísimos beneficios, con solo el sistema de caja logré sacar 50 cofres y podría haber sacado más, \"mi tienda\" me dio descuentos muy buenos y algunos la aprovecharon x2 por el bug y la tienda no salió sólo una vez, nos dieron un increíble espectáculo del worlds con ese dragón cgi impresionante, hicieron el uLol donde algunos aprovecharon y entregaron premios ahí, es fácil quejarse cuando estás incómodo con el cambio, pero parece ser difícil dar un poco de apoyo cuando riot te pide un respiro en el ritmo y claramente no quiere que los jugadores vuelvan a tener millones de EA sin saber que hacer con ella como paso con el pi. \nReflexionen porque el juego se mantiene entre todos, las es una pequeña parte pero todo suma","replies":[{"poster":"Benja God","date":"2017-11-21T20:36:45.792+0000","up_votes":2,"down_votes":0,"body":"mira, no estoy al tanto de lo que gana todo el LoL en el mundo, pero no creo que sea poco :/","replies":[]}]},{"poster":"Aêthêriâl","date":"2017-11-21T04:03:24.529+0000","up_votes":7,"down_votes":4,"body":"Vayan y agradezcan a todos los crypost diarios llorando porque no les dan EA por cada victoria.\n\nEllos se llevan este premio, es todo gracias a ellos.","replies":[]},{"poster":"ExtronCr","date":"2017-11-21T21:52:36.594+0000","up_votes":2,"down_votes":0,"body":"esta bien pero lo que no me gusta es que salen repetidos","replies":[]},{"poster":"fenixerege","date":"2017-11-21T03:50:40.399+0000","up_votes":4,"down_votes":16,"body":"esto se esta convirtiendo en el proximo juego PAY TO WIN ?","replies":[{"poster":"HIT47MAN","date":"2017-11-21T04:38:11.959+0000","up_votes":5,"down_votes":1,"body":"> [{quoted}](name=MarkoPollo,realm=LAS,application-id=v7qsfXsE,discussion-id=5fPIqgZE,comment-id=0003,timestamp=2017-11-21T03:50:40.399+0000)\n>\n> esto se esta convirtiendo en el proximo juego PAY TO WIN ?\n\nNo porque no puedes comprar algo que te genere una plus sobre tu rival, solo sera mas lento el camino de tener todos los champ","replies":[{"poster":"Nuke","date":"2017-11-21T17:24:58.802+0000","up_votes":3,"down_votes":1,"body":"Dice \"SE ESTÄ CONVIRTIENDO\", no dijo necesariamente que ya lo era... Dios","replies":[{"poster":"Benja God","date":"2017-11-21T20:35:45.523+0000","up_votes":1,"down_votes":1,"body":"entonces tu te estás convirtiendo en un dinosaurio?\n\nOJO no dije que ya lo eras","replies":[{"poster":"Nuke","date":"2017-11-21T21:26:18.270+0000","up_votes":2,"down_votes":0,"body":"Yo no soy, ni fuí ni seré un dinosaurio, LOL","replies":[]}]}]}]},{"poster":"GT es canon","date":"2017-11-21T07:21:04.881+0000","up_votes":5,"down_votes":1,"body":"> [{quoted}](name=MarkoPollo,realm=LAS,application-id=v7qsfXsE,discussion-id=5fPIqgZE,comment-id=0003,timestamp=2017-11-21T03:50:40.399+0000)\n>\n> esto se esta convirtiendo en el proximo juego PAY TO WIN ?\n\nPay to win? en que momento es necesario pagar para ascender ligas?","replies":[{"poster":"ÅTLAS ","date":"2017-11-21T20:49:31.597+0000","up_votes":2,"down_votes":0,"body":"> [{quoted}](name=U2 Caparzo,realm=LAS,application-id=v7qsfXsE,discussion-id=5fPIqgZE,comment-id=00030001,timestamp=2017-11-21T07:21:04.881+0000)\n>\n> Pay to win? en que momento es necesario pagar para ascender ligas?\n\n+campeones = mas facil de subir porque los podes tradear en seleccion + mas cantidad de paginas = acomodas las estadisticas para el game. No es que sea pay to win pero poner algo de dinero ayudaba mucho antes. Que ahora se pueda cambiar las paginas en seleccion ayuda mucho pero lo de los campeones fue un gran retroceso","replies":[]},{"poster":"Nuke","date":"2017-11-21T17:25:25.786+0000","up_votes":2,"down_votes":1,"body":"Dice \"SE ESTÄ CONVIRTIENDO\", no dijo necesariamente que ya lo era... Dios","replies":[{"poster":"GT es canon","date":"2017-11-22T01:18:09.704+0000","up_votes":1,"down_votes":3,"body":"> [{quoted}](name=Nuke,realm=LAS,application-id=v7qsfXsE,discussion-id=5fPIqgZE,comment-id=000300010000,timestamp=2017-11-21T17:25:25.786+0000)\n>\n> Dice "SE ESTÄ CONVIRTIENDO", no dijo necesariamente que ya lo era... Dios\n\nHola, primero, no soy Dios pero gracias por el alago, segundo, si se esta convirtiendo en p2w tiene sentido que tenga algo de p2w ahora. ninguno de los 2 respondio eso.","replies":[{"poster":"Nuke","date":"2017-11-22T03:06:54.173+0000","up_votes":2,"down_votes":0,"body":"Vos y yo sabemos que no me refiero a \"...Dios\" como vos. Es solo una palabra que al menos para mi, se usa para expresar nervios y poca paciencia.\n\n> segundo, si se esta convirtiendo en p2w tiene sentido que tenga algo de p2w ahora\n\nNo...\nEso es tu sentido común, pero estás equivocado.\nRealmente aun no cambió, no se transformó.","replies":[]}]}]},{"poster":"Main Cocina S3","date":"2017-11-21T18:28:12.389+0000","up_votes":2,"down_votes":1,"body":"***","replies":[{"poster":"Nuke","date":"2017-11-21T18:52:05.419+0000","up_votes":2,"down_votes":1,"body":"LOL JAJAJA","replies":[]}]}]}]},{"poster":"Nico Nico Nii","date":"2017-11-21T19:50:17.811+0000","up_votes":1,"down_votes":1,"body":"No se ustedes, pero yo prefiero quedarme sin recursos para comprar campeones antes que la empresa sufra problemas económicos y cierren el juego","replies":[{"poster":"Sona con Barrier","date":"2017-11-21T19:56:44.561+0000","up_votes":2,"down_votes":0,"body":"Si la empresa sufre problemas es responsabilidad de la empresa por no saber satisfacer a sus usuarios, no nuestra.","replies":[{"poster":"Rologladius","date":"2017-11-21T21:26:13.672+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Flechita,realm=LAS,application-id=v7qsfXsE,discussion-id=5fPIqgZE,comment-id=00150000,timestamp=2017-11-21T19:56:44.561+0000)\n>\n> Si la empresa sufre problemas es responsabilidad de la empresa por no saber satisfacer a sus usuarios, no nuestra\n\nSi hacés un análisis del foro de LAS (porque la verdad que de las otras regiones ni me molesto en entrar) con las exigencias que piden es imposible satisfacer a estos usuarios, jóvenes de promedio 18 años tal vez -no tengo idea pero lo imagino- con una insatisfacción permanente -producto de la edad nada mas- donde las satisfacciones que sienten ante algún beneficio que otorguen es efímera y vendrá un nuevo reclamo y exigencia. \nAdemás como vos decís \"si la empresa sufre problemas es responsabilidad de la empresa\" la misma tomó lo que creyó necesario para resolver su problema, que nos guste o no a los usuarios ya es otro problema.\nPor otro lado estoy de acuerdo que los usuarios/jugadores tienen la libertad de quejarse y hacer sus reclamos. Como yo tengo la mía de venir y reime de todos los crypost que andan dando vueltas por el foro.\nSaludos.","replies":[{"poster":"Inkat555","date":"2017-11-22T08:43:20.300+0000","up_votes":1,"down_votes":0,"body":"Ya llegó la tipica persona a tirar analisis sobre la edad de los usuarios.\nEstamos llenos de 100tifikos parece.","replies":[{"poster":"Rologladius","date":"2017-11-22T20:22:38.518+0000","up_votes":1,"down_votes":0,"body":"Quizas porque trabajo en análisis de mercado y entonces, aunque en la empresa no se ha realizado un estudio, encuesta (llamalo como quieras) específicamente de este juego, si se han hecho de otros juegos y los foros con estas características responden a un rango de edad específica.\nPorque aunque nos creamos y en cierta medida es así individuales y únicos, como comunidad actuamos con características preestablecidas y bastante repetitivas.\nPor otro lado no soy Científico sino economista, saludos.","replies":[{"poster":"Inkat555","date":"2017-11-24T02:13:39.601+0000","up_votes":1,"down_votes":0,"body":"Bueno. De todas maneras me parece algo errado. Es cierto que como comunidad solemos actuar de manera bastante homogénea algunas veces, pero no tiene que ver con la edad de las personas. Es mas, la mayoria de las veces la gente que se queja somos adultos y no adolescentes, ya que suele ser mas difcil engañarnos (como intentaron con este sistema)","replies":[]}]}]}]}]}]}]} |
{"poster":"Shmeeve","date":"2018-12-04T01:59:02.046+0000","title":"Hearing Zoe being able to one shot people kind of reminds me of something...","subforum":"Memes & Games","up_votes":30,"down_votes":1,"body":"https://cdn.shopify.com/s/files/1/1552/7487/products/master_tonberry_final_fantasy_printed_sticker_grfxp_grafixpressions_720x.jpg?v=1498615621","replies":[{"poster":"Dorans Pants","date":"2018-12-04T02:12:58.642+0000","up_votes":6,"down_votes":0,"body":"oh no! not him\n{{sticker:sg-ahri-1}}","replies":[{"poster":"Hawt","date":"2018-12-04T03:53:40.054+0000","up_votes":4,"down_votes":0,"body":"> [{quoted}](name=Dorans Pants,realm=EUW,application-id=Ir7ZrJjF,discussion-id=uTK8xBUQ,comment-id=0001,timestamp=2018-12-04T02:12:58.642+0000)\n>\n> oh no! not him\n> {{sticker:sg-ahri-1}}\n\nWhat's the background story? I'm not familiar with him.\n\n{{sticker:sg-lux-2}}","replies":[{"poster":"ZaneShadow","date":"2018-12-04T05:17:05.546+0000","up_votes":9,"down_votes":0,"body":"> [{quoted}](name=Hawt,realm=NA,application-id=Ir7ZrJjF,discussion-id=uTK8xBUQ,comment-id=00010002,timestamp=2018-12-04T03:53:40.054+0000)\n>\n> What's the background story? I'm not familiar with him.\n> \n> {{sticker:sg-lux-2}}\n\nHe's called a Tonberry. Its a Final Fantasy enemy that has a habbit of about one shoting a party member. He also has a cute little move that deals damaged based on the number of enemies that character has killed. As in \"remember grinding out enemies for experience and money? Ya those ones 50 hours of game play ago? Well now take damage for EVERY. SINGLE. ONE.\" Their usually late game enemies so by the time you meet them you've always killed enough enemies for them to kill that party member 5 times over.\n\nPassing through any area where one can spawn creates the same feeling of dread as playing Russian Roulet with only 1 empty chamber.","replies":[]},{"poster":"Infernape","date":"2018-12-04T03:56:59.558+0000","up_votes":3,"down_votes":0,"body":"Tonberry. He has an attack called Chef's Knife that either deals massive damage or OHKO's a party member. And another called Karma that deals damage to you based on ** the amount of enemies you've killed**.","replies":[{"poster":"Necro Warrior87","date":"2018-12-04T04:10:40.146+0000","up_votes":7,"down_votes":0,"body":"A weapon to rival Sans","replies":[{"poster":"Terozu","date":"2018-12-04T04:38:24.668+0000","up_votes":1,"down_votes":1,"body":"No a weapon to rival Chara, it would do basically nothing to Sans.","replies":[{"poster":"Warlord Rhinark","date":"2018-12-04T07:10:15.350+0000","up_votes":2,"down_votes":0,"body":"> [{quoted}](name=Terozu,realm=NA,application-id=Ir7ZrJjF,discussion-id=uTK8xBUQ,comment-id=00010002000000000000,timestamp=2018-12-04T04:38:24.668+0000)\n>\n> No a weapon to rival Chara, it would do basically nothing to Sans.\n\nA WEAPON TO SURPASS METAL GEAR","replies":[{"poster":"Shmeeve","date":"2018-12-04T23:40:55.089+0000","up_votes":1,"down_votes":0,"body":"A WEAPON TO SURPASS LEAGUE CS","replies":[]}]}]}]}]}]},{"poster":"Shmeeve","date":"2018-12-04T03:19:12.696+0000","up_votes":3,"down_votes":0,"body":"Your Doran's pants have been wetted.","replies":[]},{"poster":"Shmeeve","date":"2018-12-04T02:18:43.503+0000","up_votes":1,"down_votes":0,"body":"oh YES!!!","replies":[]}]},{"poster":"Friendly Ram","date":"2018-12-04T13:26:37.125+0000","up_votes":3,"down_votes":0,"body":"Can you not bring back the scariest final fantasy enemy.","replies":[]},{"poster":"Terozu","date":"2018-12-04T04:37:01.121+0000","up_votes":3,"down_votes":0,"body":"Tonberry champ concept, for every kill you have his ultimate does 100 true damage to u.","replies":[{"poster":"Votable Jester","date":"2018-12-04T06:07:17.444+0000","up_votes":3,"down_votes":0,"body":"+100 per cs (#minionlivesmatter)","replies":[]},{"poster":"Skeletons Grave","date":"2018-12-04T18:50:18.521+0000","up_votes":1,"down_votes":0,"body":"Basically veigar. Every minion and enemy he kills grants him bonus power. At some point being able to one shot anyone.","replies":[{"poster":"Deez Crits","date":"2018-12-04T19:05:56.012+0000","up_votes":1,"down_votes":0,"body":"His idea suggests that 'Tonberry' will scale based off of his how many kills his opponent has, not his own. A reference to one of the classic tonberry abilities from the series.\n\nHowever, old Veigar did scale off of his opponents AP in which case he is similar to this concept to an extent!","replies":[]}]},{"poster":"iamthegoatofwar","date":"2018-12-04T13:06:27.722+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Terozu,realm=NA,application-id=Ir7ZrJjF,discussion-id=uTK8xBUQ,comment-id=0003,timestamp=2018-12-04T04:37:01.121+0000)\n>\n> Tonberry champ concept, for every kill you have his ultimate does 100 true damage to u.\n\n...you're legit onto something that's an interesting thought to play around with similar to garen's villain mechanic.","replies":[]}]},{"poster":"A Swarm of Koala","date":"2018-12-04T04:01:06.027+0000","up_votes":3,"down_votes":0,"body":"I remember the first time I encountered a Tonberry. \nWaddled its way up to my party, cut a bitch. \nMoved on to the next guy. Cut a bitch. \nI attempted to run. Cut a bitch. \nSuccessfully escaped. Steiner was the only one that made it out alive.","replies":[{"poster":"Terozu","date":"2018-12-04T04:38:57.190+0000","up_votes":1,"down_votes":0,"body":"For me it was Vivi, Eiko Garnet and Zidane all died.","replies":[]}]},{"poster":"Summonah12369","date":"2018-12-04T16:18:16.069+0000","up_votes":1,"down_votes":0,"body":"What the fuck is that.","replies":[{"poster":"Shmeeve","date":"2018-12-04T23:43:33.481+0000","up_votes":2,"down_votes":0,"body":"A tonberry, a little slasher fish with a kitchen knife and a lantern, being able to one shot or deal a butt load of damage. not only that, he can also deal damage prior to the number of enemies you killed in the game, and by the fact its a late game monster, that is enough to one shot someone three times over.","replies":[]}]},{"poster":"Reaper Soraka","date":"2018-12-04T16:22:51.154+0000","up_votes":2,"down_votes":0,"body":"Only Tonberries remind me of Tonberries. Satanic teemo has pictures of what he aspires to be on his wall, and those are pictures of tonberries.\n\nNothing is more evil than a Tonberry.","replies":[]},{"poster":"xDogMeatx","date":"2018-12-04T15:44:22.278+0000","up_votes":2,"down_votes":0,"body":"MAKE TONBARRY A CHAMPION!!! HIS PASSIVE IS THAT HE WALKS AND BE ABSOLUTELY TANKY FOR NO REASON YET CRUMBLES TOWERS IN A PERMANENT TAUNT CC TOWARDS TOWERS MID LANE WITH 9999 HP WITH DEMOLISH 400 AD /AP ALSO 150 ARMOR/MR IF ANYONE ATTACKS HIM HE WILL USE HIS LANTERN TO SUMMON GHOSTS TO RETALIATE VS RANGED SCALING OF THEIR PREVIOUS GAMES IN TOTAL KILLS IF THEY ARE MELEE ITS KITCHEN KNIFE IS SCALING OFF THEIR GAME DEATHS IN TOTAL CAREER. (FFX reference monster battles before Penance)","replies":[]},{"poster":"Madjack01","date":"2018-12-04T14:37:31.739+0000","up_votes":2,"down_votes":0,"body":"But at least this guy has to get close to you.\n\nGetting the Tonberry King in FF8 was always such a chore.\n\nI never understood why anyone would kill 21 (or so) of these poor, little fellas, they didn't even give reasonable exp or AP.\n\nBust look at that face, who wouldn't want to cuddle that.","replies":[]},{"poster":"SpecterVonBaren","date":"2018-12-04T04:55:29.094+0000","up_votes":2,"down_votes":0,"body":"Should totally have a skin of her wearing a Tonberry costume be part of the pajama series of skin that Nunu and Gnar are part of.","replies":[]},{"poster":"Sizzl0r","date":"2018-12-04T14:10:49.004+0000","up_votes":1,"down_votes":0,"body":"Ahh yes, Final Fantasy XIII","replies":[{"poster":"Shmeeve","date":"2018-12-05T05:00:27.356+0000","up_votes":1,"down_votes":0,"body":"Reminds me of the time all Tonberry had to do was poke a ceith for it to fall dead and makes its soul explode.\nQuite literally","replies":[]}]},{"poster":"Lord Zeta 1313","date":"2018-12-04T23:43:59.373+0000","up_votes":1,"down_votes":0,"body":"I am lucky that this guy is not in three goblets\n\nI have killed at least 1,000+ monsters, so that would probably one-shot my 200,000 health character three times over. Its basically giving him the null modifier \n\n(Note: here is the link to the game\n https://www.coolmathgames.com/0-three-goblets\nplease play it, it is ridiculously fun)","replies":[]},{"poster":"meowwow7","date":"2018-12-04T14:14:15.373+0000","up_votes":1,"down_votes":0,"body":"i used to be afraid of them until i played final fantasy 5 and 6 then just thought of them as a joke because on 5 you could capture 1 to doink 1 enemy and 6 you could greet them with a dual cast of ultima later","replies":[]},{"poster":"Arammus","date":"2018-12-04T13:27:43.743+0000","up_votes":1,"down_votes":0,"body":"tonberry <3 aww man i always liked this guy. he is awesome.","replies":[]},{"poster":"PermaJinxed","date":"2018-12-04T05:49:16.523+0000","up_votes":1,"down_votes":0,"body":"Tonberry's base attack has been called both \"chef's knife\" and \"everybody's grudge\".....\nYour only saving grace was that Tonberry was very slow in approaching you in most titles and you had time until he ripped you apart..... If Tonberry had Zoe's ultimate......I'd never play another Final Fantasy.......ever","replies":[]},{"poster":"Tahminatrix ","date":"2018-12-04T02:07:11.145+0000","up_votes":1,"down_votes":0,"body":"YES","replies":[]}]} |
{"notes": [{"tddate": null, "ddate": null, "tmdate": 1519442093930, "tcdate": 1509138733360, "number": 1122, "cdate": 1518730157315, "id": "HJCXZQbAZ", "invitation": "ICLR.cc/2018/Conference/-/Blind_Submission", "forum": "HJCXZQbAZ", "original": "BJsZ-QWRb", "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference"], "content": {"title": "Hierarchical Density Order Embeddings", "abstract": "By representing words with probability densities rather than point vectors, proba- bilistic word embeddings can capture rich and interpretable semantic information and uncertainty (Vilnis & McCallum, 2014; Athiwaratkun & Wilson, 2017). The uncertainty information can be particularly meaningful in capturing entailment relationships \u2013 whereby general words such as \u201centity\u201d correspond to broad distributions that encompass more specific words such as \u201canimal\u201d or \u201cinstrument\u201d. We introduce density order embeddings, which learn hierarchical representations through encapsulation of probability distributions. In particular, we propose simple yet effective loss functions and distance metrics, as well as graph-based schemes to select negative samples to better learn hierarchical probabilistic representations. Our approach provides state-of-the-art performance on the WordNet hypernym relationship prediction task and the challenging HyperLex lexical entailment dataset \u2013 while retaining a rich and interpretable probabilistic representation.", "pdf": "/pdf/624b0696a4d1350d69bfe3038a262605a978bf9e.pdf", "paperhash": "athiwaratkun|hierarchical_density_order_embeddings", "_bibtex": "@inproceedings{\nathiwaratkun2018on,\ntitle={On Modeling Hierarchical Data via Probabilistic Order Embeddings},\nauthor={Ben Athiwaratkun and Andrew Gordon Wilson},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=HJCXZQbAZ},\n}", "keywords": ["embeddings", "word embeddings", "probabilistic embeddings", "hierarchical representation", "probabilistic representation", "order embeddings", "wordnet", "hyperlex"], "authors": ["Ben Athiwaratkun", "Andrew Gordon Wilson"], "authorids": ["pa338@cornell.edu", "andrew@cornell.edu"]}, "nonreaders": [], "details": {"replyCount": 10, "writable": false, "overwriting": [], "revisions": true, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1506717071958, "id": "ICLR.cc/2018/Conference/-/Blind_Submission", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2018/Conference"], "reply": {"forum": null, "replyto": null, "writers": {"values": ["ICLR.cc/2018/Conference"]}, "signatures": {"description": "How your identity will be displayed with the above content.", "values": ["ICLR.cc/2018/Conference"]}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"authors": {"required": false, "order": 1, "values-regex": ".*", "description": "Comma separated list of author names, as they appear in the paper."}, "authorids": {"required": false, "order": 2, "values-regex": ".*", "description": "Comma separated list of author email addresses, in the same order as above."}}}, "nonreaders": [], "noninvitees": [], "cdate": 1506717071958}}, "tauthor": "ICLR.cc/2018/Conference"}, {"tddate": null, "ddate": null, "tmdate": 1517442516494, "tcdate": 1517442516494, "number": 1, "cdate": 1517442516494, "id": "BJnArCyIM", "invitation": "ICLR.cc/2018/Conference/-/Paper1122/Public_Comment", "forum": "HJCXZQbAZ", "replyto": "HJCXZQbAZ", "signatures": ["~Luke_Vilnis1"], "readers": ["everyone"], "writers": ["~Luke_Vilnis1"], "content": {"title": "New paper title and relevant prior work", "comment": "I read this interesting work (I especially enjoyed learning about the idea of the proposed strict \"set measure\") when it was first posted under its original title, \"ON MODELING HIERARCHICAL DATA VIA ENCAPSULATION OF PROBABILITY DENSITIES.\" I think think this was a more accurate title considering, as the authors note, the proposed model doesn't necessarily obey transitivity, nor is it a probabilistic model of a transitive relation -- the cutoffs are on KL divergences, not edge probabilities. Instead, the embeddings themselves take the functional form of abstract probability distributions, like our original Gaussian work. \n\nA missing reference is Lai and Hockenmaier's EACL 2017 paper \"Learning to Predict Denotational Probabilities For Modeling Entailment\" (https://www.aclweb.org/anthology/E/E17/E17-1068.pdf), which does directly learn a transitive, probabilistic order embedding in the sense that if P(mammal|dog) approx 1 (so mammal < dog in the ordering with probability 1), and P(animal|mammal) approx 1 (so animal < mammal in the ordering), then P(animal | dog) approx 1 ( animal < dog in the ordering ) is assured. With lower cutoffs than P close to 1 the exact bound depends on depth, dimensionality, etc.\n\nThey do this by taking the order embedding model and assigning an exponential measure to the conic sublattices implied by each vector under the ordering relation, defining the probability of P(x) as exp(-sum_i x_i) and P(x,y) as exp(-sum_i max(x_i,y_i)), and the edge probability from there as conditional probability of parent given child.\n\nI encourage the authors to take a look at that work and cite it in the camera-ready, as it was initially what sprung to mind when I heard \"probabilistic order embeddings\" and is quite different.\n\nAfter mentioning someone else's work, on a more selfish note, on the subject of picking graph-aware training examples for order embeddings, the authors might also be interested in Xiang Li's and my ICML 2017 workshop paper, \"Improved Representation Learning for Predicting Commonsense Ontologies\" (https://arxiv.org/abs/1708.00549), where we get an improvement from 90.6 to 91.3 on standard order embeddings just by including extra constraints based on ancestors using the join and meet operations of the lattice (Table 3).\n\nThanks for your time!\n\n\n\n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Hierarchical Density Order Embeddings", "abstract": "By representing words with probability densities rather than point vectors, proba- bilistic word embeddings can capture rich and interpretable semantic information and uncertainty (Vilnis & McCallum, 2014; Athiwaratkun & Wilson, 2017). The uncertainty information can be particularly meaningful in capturing entailment relationships \u2013 whereby general words such as \u201centity\u201d correspond to broad distributions that encompass more specific words such as \u201canimal\u201d or \u201cinstrument\u201d. We introduce density order embeddings, which learn hierarchical representations through encapsulation of probability distributions. In particular, we propose simple yet effective loss functions and distance metrics, as well as graph-based schemes to select negative samples to better learn hierarchical probabilistic representations. Our approach provides state-of-the-art performance on the WordNet hypernym relationship prediction task and the challenging HyperLex lexical entailment dataset \u2013 while retaining a rich and interpretable probabilistic representation.", "pdf": "/pdf/624b0696a4d1350d69bfe3038a262605a978bf9e.pdf", "paperhash": "athiwaratkun|hierarchical_density_order_embeddings", "_bibtex": "@inproceedings{\nathiwaratkun2018on,\ntitle={On Modeling Hierarchical Data via Probabilistic Order Embeddings},\nauthor={Ben Athiwaratkun and Andrew Gordon Wilson},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=HJCXZQbAZ},\n}", "keywords": ["embeddings", "word embeddings", "probabilistic embeddings", "hierarchical representation", "probabilistic representation", "order embeddings", "wordnet", "hyperlex"], "authors": ["Ben Athiwaratkun", "Andrew Gordon Wilson"], "authorids": ["pa338@cornell.edu", "andrew@cornell.edu"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1512791673885, "id": "ICLR.cc/2018/Conference/-/Paper1122/Public_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "invitees": ["~"], "reply": {"replyto": null, "forum": "HJCXZQbAZ", "writers": {"values-regex": "~.*|\\(anonymous\\)"}, "signatures": {"values-regex": "~.*|\\(anonymous\\)", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Authors_and_Higher", "ICLR.cc/2018/Conference/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": ["ICLR.cc/2018/Conference/Paper1122/Authors", "ICLR.cc/2018/Conference/Paper1122/Reviewers", "ICLR.cc/2018/Conference/Paper1122/Area_Chair"], "cdate": 1512791673885}}}, {"tddate": null, "ddate": null, "original": null, "tmdate": 1517260096448, "tcdate": 1517249403171, "number": 183, "cdate": 1517249403152, "id": "SJXY7yaBM", "invitation": "ICLR.cc/2018/Conference/-/Acceptance_Decision", "forum": "HJCXZQbAZ", "replyto": "HJCXZQbAZ", "signatures": ["ICLR.cc/2018/Conference/Program_Chairs"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Program_Chairs"], "content": {"title": "ICLR 2018 Conference Acceptance Decision", "comment": "This paper marries the idea of Gaussian word embeddings and order embeddings, by imposing order among probabilistic word embeddings. Two reviewers vote for acceptance, and one finds the novelty of the paper incremental. The reviewer stuck to this view even after rebuttal, however, acknowledges the improvement in results. The AC read the paper, and agrees that the novelty is somewhat limited, however, the idea is still quite interesting, and the results are promising. The AC was missing more experiments on other tasks originally presented by Vendrov et al. Overall, this paper is slightly over the bar.", "decision": "Accept (Poster)"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Hierarchical Density Order Embeddings", "abstract": "By representing words with probability densities rather than point vectors, proba- bilistic word embeddings can capture rich and interpretable semantic information and uncertainty (Vilnis & McCallum, 2014; Athiwaratkun & Wilson, 2017). The uncertainty information can be particularly meaningful in capturing entailment relationships \u2013 whereby general words such as \u201centity\u201d correspond to broad distributions that encompass more specific words such as \u201canimal\u201d or \u201cinstrument\u201d. We introduce density order embeddings, which learn hierarchical representations through encapsulation of probability distributions. In particular, we propose simple yet effective loss functions and distance metrics, as well as graph-based schemes to select negative samples to better learn hierarchical probabilistic representations. Our approach provides state-of-the-art performance on the WordNet hypernym relationship prediction task and the challenging HyperLex lexical entailment dataset \u2013 while retaining a rich and interpretable probabilistic representation.", "pdf": "/pdf/624b0696a4d1350d69bfe3038a262605a978bf9e.pdf", "paperhash": "athiwaratkun|hierarchical_density_order_embeddings", "_bibtex": "@inproceedings{\nathiwaratkun2018on,\ntitle={On Modeling Hierarchical Data via Probabilistic Order Embeddings},\nauthor={Ben Athiwaratkun and Andrew Gordon Wilson},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=HJCXZQbAZ},\n}", "keywords": ["embeddings", "word embeddings", "probabilistic embeddings", "hierarchical representation", "probabilistic representation", "order embeddings", "wordnet", "hyperlex"], "authors": ["Ben Athiwaratkun", "Andrew Gordon Wilson"], "authorids": ["pa338@cornell.edu", "andrew@cornell.edu"]}, "tags": [], "invitation": {"id": "ICLR.cc/2018/Conference/-/Acceptance_Decision", "rdate": null, "ddate": null, "expdate": 1541175629000, "duedate": null, "tmdate": 1541177635767, "tddate": null, "super": null, "final": null, "reply": {"forum": null, "replyto": null, "invitation": "ICLR.cc/2018/Conference/-/Blind_Submission", "writers": {"values": ["ICLR.cc/2018/Conference/Program_Chairs"]}, "signatures": {"description": "How your identity will be displayed with the above content.", "values": ["ICLR.cc/2018/Conference/Program_Chairs"]}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["ICLR.cc/2018/Conference/Program_Chairs", "everyone"]}, "content": {"title": {"required": true, "order": 1, "value": "ICLR 2018 Conference Acceptance Decision"}, "comment": {"required": false, "order": 3, "description": "(optional) Comment on this decision.", "value-regex": "[\\S\\s]{0,5000}"}, "decision": {"required": true, "order": 2, "value-dropdown": ["Accept (Oral)", "Accept (Poster)", "Reject", "Invite to Workshop Track"]}}}, "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "nonreaders": [], "invitees": [], "noninvitees": [], "writers": ["ICLR.cc/2018/Conference"], "multiReply": null, "taskCompletionCount": null, "transform": null, "cdate": 1541177635767}}}, {"tddate": null, "ddate": null, "original": null, "tmdate": 1515642385968, "tcdate": 1511594618375, "number": 1, "cdate": 1511594618375, "id": "HyGYccUxz", "invitation": "ICLR.cc/2018/Conference/-/Paper1122/Official_Review", "forum": "HJCXZQbAZ", "replyto": "HJCXZQbAZ", "signatures": ["ICLR.cc/2018/Conference/Paper1122/AnonReviewer2"], "readers": ["everyone"], "content": {"title": "KL is not symmetric but its directional aspect was not found to be significant for lexical entailment", "rating": "4: Ok but not good enough - rejection", "review": "The paper presents a method for hierarchical object embedding by Gaussian densities for lexical entailment tasks.Each word is represented by a diagonal Gaussian and the KL divergence is used as a directional distance measure. if D(f||g) < gamma then the concept represented by f entails the concept represented by g.\n\nThe main technical difference of the present work compared from the main prior work (Vendrov, 2015) is that in addition to mean vector representation they use here also a variance component. The main modeling challenge here to to define a good directional measure that can be suitable for lexical entailment. in Vendrov work they defined a partial ordering. Here, the KL is not symmetric but its directional aspect is not significant.\nFor example if we set all the variances to be a unit matrix than the KL is collapsed to be a simple symmetrical Euclidean distance. We can also see from Table 1 that if we replace KL by its symmetrical variant we get similar results. Hence, I was not convinced that the propose KL+Gaussian modeling is suitable for directional relations.\n\nThe paper also presents several methods for negative samplings and according to table 4 there is a lot of performance variability based on the method that is used for selecting negative sampling. I find this component of the proposed algorithm very heuristic.\n\nTo summarize, I don't think there is enough interesting novelty in this paper. If the focus of the paper is on obtaining good entailment results, maybe an NLP conference can be a more suitable venue.\n", "confidence": "3: The reviewer is fairly confident that the evaluation is correct"}, "writers": [], "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Hierarchical Density Order Embeddings", "abstract": "By representing words with probability densities rather than point vectors, proba- bilistic word embeddings can capture rich and interpretable semantic information and uncertainty (Vilnis & McCallum, 2014; Athiwaratkun & Wilson, 2017). The uncertainty information can be particularly meaningful in capturing entailment relationships \u2013 whereby general words such as \u201centity\u201d correspond to broad distributions that encompass more specific words such as \u201canimal\u201d or \u201cinstrument\u201d. We introduce density order embeddings, which learn hierarchical representations through encapsulation of probability distributions. In particular, we propose simple yet effective loss functions and distance metrics, as well as graph-based schemes to select negative samples to better learn hierarchical probabilistic representations. Our approach provides state-of-the-art performance on the WordNet hypernym relationship prediction task and the challenging HyperLex lexical entailment dataset \u2013 while retaining a rich and interpretable probabilistic representation.", "pdf": "/pdf/624b0696a4d1350d69bfe3038a262605a978bf9e.pdf", "paperhash": "athiwaratkun|hierarchical_density_order_embeddings", "_bibtex": "@inproceedings{\nathiwaratkun2018on,\ntitle={On Modeling Hierarchical Data via Probabilistic Order Embeddings},\nauthor={Ben Athiwaratkun and Andrew Gordon Wilson},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=HJCXZQbAZ},\n}", "keywords": ["embeddings", "word embeddings", "probabilistic embeddings", "hierarchical representation", "probabilistic representation", "order embeddings", "wordnet", "hyperlex"], "authors": ["Ben Athiwaratkun", "Andrew Gordon Wilson"], "authorids": ["pa338@cornell.edu", "andrew@cornell.edu"]}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "duedate": 1511845199000, "tmdate": 1515642385870, "id": "ICLR.cc/2018/Conference/-/Paper1122/Official_Review", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2018/Conference/Paper1122/Reviewers"], "noninvitees": ["ICLR.cc/2018/Conference/Paper1122/AnonReviewer2", "ICLR.cc/2018/Conference/Paper1122/AnonReviewer3", "ICLR.cc/2018/Conference/Paper1122/AnonReviewer1"], "reply": {"forum": "HJCXZQbAZ", "replyto": "HJCXZQbAZ", "writers": {"values": []}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper1122/AnonReviewer[0-9]+", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"required": true, "order": 1, "description": "Brief summary of your review.", "value-regex": ".{0,500}"}, "review": {"required": true, "order": 2, "description": "Please provide an evaluation of the quality, clarity, originality and significance of this work, including a list of its pros and cons.", "value-regex": "[\\S\\s]{1,200000}"}, "rating": {"required": true, "order": 3, "value-dropdown": ["10: Top 5% of accepted papers, seminal paper", "9: Top 15% of accepted papers, strong accept", "8: Top 50% of accepted papers, clear accept", "7: Good paper, accept", "6: Marginally above acceptance threshold", "5: Marginally below acceptance threshold", "4: Ok but not good enough - rejection", "3: Clear rejection", "2: Strong rejection", "1: Trivial or wrong"]}, "confidence": {"required": true, "order": 4, "value-radio": ["5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature", "4: The reviewer is confident but not absolutely certain that the evaluation is correct", "3: The reviewer is fairly confident that the evaluation is correct", "2: The reviewer is willing to defend the evaluation, but it is quite likely that the reviewer did not understand central parts of the paper", "1: The reviewer's evaluation is an educated guess"]}}}, "nonreaders": [], "expdate": 1519621199000, "cdate": 1515642385870}}}, {"tddate": null, "ddate": null, "original": null, "tmdate": 1515642385929, "tcdate": 1511816166088, "number": 2, "cdate": 1511816166088, "id": "SyRynl9eM", "invitation": "ICLR.cc/2018/Conference/-/Paper1122/Official_Review", "forum": "HJCXZQbAZ", "replyto": "HJCXZQbAZ", "signatures": ["ICLR.cc/2018/Conference/Paper1122/AnonReviewer3"], "readers": ["everyone"], "content": {"title": "Potentially a good paper, badly presented", "rating": "6: Marginally above acceptance threshold", "review": "The paper presents a study on the use of density embedding for modeling hierarchical semantic relations, and in particular on the hypernym one. The goal is to capture hypernyms of some synsets, even if their occurrence is scarce on the training data.\n+++pros: 1) potentially a good idea, capable of filling an ontology of relations scarcely present in a given repository 2) solid theoretical background, even if no methodological novelty has been introduced (this is also a cons!)\n---cons: 1) Badly presented: the writing of the paper fails in let the reader aware of what the paper actually serves\n\nCOMMENTS:\nThe introduction puzzled me: the authors, once they stated the problem (the scarceness of the hypernyms' occurrences in the texts w.r.t. their hyponyms), proposed a solution which seems not to directly solve this problem. So I suggest the authors to better explain the connection between the told problem and their proposed solution, and how this can solve the problem.\n\nThis aspect is also present in the experiments section, since it is not possible to understand how much the problem (the scarceness of the hypernyms) is present in the HYPERLEX dataset.\n\nHow the 4000 hypernyms have been selected? Why a diagonal covariance has been estimated, and not a full covariance one? \n\nn Figure 4 middle, it is not clear whether the location and city concepts are intersecting the other synsets. It shouldn't be, but the authors should spend a little on this.\n\nApart from these comments, I found the paper interesting especially for the big amount fo comparisons carried out. \n\nAs a final general comment, I would have appreciated a paper more self explanative, without referring to the paper [Vilnis & McCallum, 2014] which makes appear the paper a minor improvement of what it is actually. ", "confidence": "4: The reviewer is confident but not absolutely certain that the evaluation is correct"}, "writers": [], "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Hierarchical Density Order Embeddings", "abstract": "By representing words with probability densities rather than point vectors, proba- bilistic word embeddings can capture rich and interpretable semantic information and uncertainty (Vilnis & McCallum, 2014; Athiwaratkun & Wilson, 2017). The uncertainty information can be particularly meaningful in capturing entailment relationships \u2013 whereby general words such as \u201centity\u201d correspond to broad distributions that encompass more specific words such as \u201canimal\u201d or \u201cinstrument\u201d. We introduce density order embeddings, which learn hierarchical representations through encapsulation of probability distributions. In particular, we propose simple yet effective loss functions and distance metrics, as well as graph-based schemes to select negative samples to better learn hierarchical probabilistic representations. Our approach provides state-of-the-art performance on the WordNet hypernym relationship prediction task and the challenging HyperLex lexical entailment dataset \u2013 while retaining a rich and interpretable probabilistic representation.", "pdf": "/pdf/624b0696a4d1350d69bfe3038a262605a978bf9e.pdf", "paperhash": "athiwaratkun|hierarchical_density_order_embeddings", "_bibtex": "@inproceedings{\nathiwaratkun2018on,\ntitle={On Modeling Hierarchical Data via Probabilistic Order Embeddings},\nauthor={Ben Athiwaratkun and Andrew Gordon Wilson},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=HJCXZQbAZ},\n}", "keywords": ["embeddings", "word embeddings", "probabilistic embeddings", "hierarchical representation", "probabilistic representation", "order embeddings", "wordnet", "hyperlex"], "authors": ["Ben Athiwaratkun", "Andrew Gordon Wilson"], "authorids": ["pa338@cornell.edu", "andrew@cornell.edu"]}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "duedate": 1511845199000, "tmdate": 1515642385870, "id": "ICLR.cc/2018/Conference/-/Paper1122/Official_Review", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2018/Conference/Paper1122/Reviewers"], "noninvitees": ["ICLR.cc/2018/Conference/Paper1122/AnonReviewer2", "ICLR.cc/2018/Conference/Paper1122/AnonReviewer3", "ICLR.cc/2018/Conference/Paper1122/AnonReviewer1"], "reply": {"forum": "HJCXZQbAZ", "replyto": "HJCXZQbAZ", "writers": {"values": []}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper1122/AnonReviewer[0-9]+", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"required": true, "order": 1, "description": "Brief summary of your review.", "value-regex": ".{0,500}"}, "review": {"required": true, "order": 2, "description": "Please provide an evaluation of the quality, clarity, originality and significance of this work, including a list of its pros and cons.", "value-regex": "[\\S\\s]{1,200000}"}, "rating": {"required": true, "order": 3, "value-dropdown": ["10: Top 5% of accepted papers, seminal paper", "9: Top 15% of accepted papers, strong accept", "8: Top 50% of accepted papers, clear accept", "7: Good paper, accept", "6: Marginally above acceptance threshold", "5: Marginally below acceptance threshold", "4: Ok but not good enough - rejection", "3: Clear rejection", "2: Strong rejection", "1: Trivial or wrong"]}, "confidence": {"required": true, "order": 4, "value-radio": ["5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature", "4: The reviewer is confident but not absolutely certain that the evaluation is correct", "3: The reviewer is fairly confident that the evaluation is correct", "2: The reviewer is willing to defend the evaluation, but it is quite likely that the reviewer did not understand central parts of the paper", "1: The reviewer's evaluation is an educated guess"]}}}, "nonreaders": [], "expdate": 1519621199000, "cdate": 1515642385870}}}, {"tddate": null, "ddate": null, "original": null, "tmdate": 1515642385887, "tcdate": 1511885236561, "number": 3, "cdate": 1511885236561, "id": "rk63KZixz", "invitation": "ICLR.cc/2018/Conference/-/Paper1122/Official_Review", "forum": "HJCXZQbAZ", "replyto": "HJCXZQbAZ", "signatures": ["ICLR.cc/2018/Conference/Paper1122/AnonReviewer1"], "readers": ["everyone"], "content": {"title": "Review", "rating": "8: Top 50% of accepted papers, clear accept", "review": "The paper introduces a novel method for modeling hierarchical data. The work builds on previous approaches, such as Vilnis and McCallum's Word2Gauss and Vendrov's Order Embeddings, to establish a partial order over probability densities via encapsulation, which allows it to model hierarchical information. The aim is to learn embeddings from supervised structured data, such as WordNet. The work also investigates various schemes for selecting negative samples. The evaluation consists of hypernym detection on WordNet and graded lexical entailment, in the shape of HyperLex. This is good work: it is well written, the experiments are thorough and the proposed method is original and works well.\n\nSection 3 could use some more signposting. Especially for 3.3 it would be good to explain (either at the beginning of section 3, or the beginning of section 3.3) why these measures matter and what is going to be done with them.\n\nIt's good that LEAR is mentioned and compared against, even though it was very recently published. Please do note that the authors' names are misspelled: Vuli\\'c not Vulic, Mrk\\v{s}i\\'c instead of Mrksic.\n\nIf I am not mistaken, the Vendrov WordNet test set is a set of positive pairs. I would like to see more details on how the evaluation is done here: presumably, the lower I set the threshold, the higher my score? Or am I missing something?\n\nIt would be useful to describe exactly the extent to which supervision is used - the method only needs positive and negative links, and does not require any additional order information (i.e., WordNet strictly contains more information than what is being used).\n\nI don't see what Socher et al. (2013) has to do with the loss in equation (7). Or did they invent the margin loss?\n\nWord2gauss also evaluates on similarity and relatedness datasets. Did you consider doing that here too?\n\n\"hypothesis proposed by Santus et al. which says\" is not a valid reference.", "confidence": "5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature"}, "writers": [], "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Hierarchical Density Order Embeddings", "abstract": "By representing words with probability densities rather than point vectors, proba- bilistic word embeddings can capture rich and interpretable semantic information and uncertainty (Vilnis & McCallum, 2014; Athiwaratkun & Wilson, 2017). The uncertainty information can be particularly meaningful in capturing entailment relationships \u2013 whereby general words such as \u201centity\u201d correspond to broad distributions that encompass more specific words such as \u201canimal\u201d or \u201cinstrument\u201d. We introduce density order embeddings, which learn hierarchical representations through encapsulation of probability distributions. In particular, we propose simple yet effective loss functions and distance metrics, as well as graph-based schemes to select negative samples to better learn hierarchical probabilistic representations. Our approach provides state-of-the-art performance on the WordNet hypernym relationship prediction task and the challenging HyperLex lexical entailment dataset \u2013 while retaining a rich and interpretable probabilistic representation.", "pdf": "/pdf/624b0696a4d1350d69bfe3038a262605a978bf9e.pdf", "paperhash": "athiwaratkun|hierarchical_density_order_embeddings", "_bibtex": "@inproceedings{\nathiwaratkun2018on,\ntitle={On Modeling Hierarchical Data via Probabilistic Order Embeddings},\nauthor={Ben Athiwaratkun and Andrew Gordon Wilson},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=HJCXZQbAZ},\n}", "keywords": ["embeddings", "word embeddings", "probabilistic embeddings", "hierarchical representation", "probabilistic representation", "order embeddings", "wordnet", "hyperlex"], "authors": ["Ben Athiwaratkun", "Andrew Gordon Wilson"], "authorids": ["pa338@cornell.edu", "andrew@cornell.edu"]}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "duedate": 1511845199000, "tmdate": 1515642385870, "id": "ICLR.cc/2018/Conference/-/Paper1122/Official_Review", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2018/Conference/Paper1122/Reviewers"], "noninvitees": ["ICLR.cc/2018/Conference/Paper1122/AnonReviewer2", "ICLR.cc/2018/Conference/Paper1122/AnonReviewer3", "ICLR.cc/2018/Conference/Paper1122/AnonReviewer1"], "reply": {"forum": "HJCXZQbAZ", "replyto": "HJCXZQbAZ", "writers": {"values": []}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper1122/AnonReviewer[0-9]+", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"required": true, "order": 1, "description": "Brief summary of your review.", "value-regex": ".{0,500}"}, "review": {"required": true, "order": 2, "description": "Please provide an evaluation of the quality, clarity, originality and significance of this work, including a list of its pros and cons.", "value-regex": "[\\S\\s]{1,200000}"}, "rating": {"required": true, "order": 3, "value-dropdown": ["10: Top 5% of accepted papers, seminal paper", "9: Top 15% of accepted papers, strong accept", "8: Top 50% of accepted papers, clear accept", "7: Good paper, accept", "6: Marginally above acceptance threshold", "5: Marginally below acceptance threshold", "4: Ok but not good enough - rejection", "3: Clear rejection", "2: Strong rejection", "1: Trivial or wrong"]}, "confidence": {"required": true, "order": 4, "value-radio": ["5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature", "4: The reviewer is confident but not absolutely certain that the evaluation is correct", "3: The reviewer is fairly confident that the evaluation is correct", "2: The reviewer is willing to defend the evaluation, but it is quite likely that the reviewer did not understand central parts of the paper", "1: The reviewer's evaluation is an educated guess"]}}}, "nonreaders": [], "expdate": 1519621199000, "cdate": 1515642385870}}}, {"tddate": null, "ddate": null, "tmdate": 1515082105644, "tcdate": 1515082105644, "number": 5, "cdate": 1515082105644, "id": "BJMKZCoXM", "invitation": "ICLR.cc/2018/Conference/-/Paper1122/Official_Comment", "forum": "HJCXZQbAZ", "replyto": "HJCXZQbAZ", "signatures": ["ICLR.cc/2018/Conference/Paper1122/Authors"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Paper1122/Authors"], "content": {"title": "Changes in New Draft", "comment": "We have incorporated the reviewers' comment into our new draft. The changes are as follow:\n\nSection 1. Introduction\nWe further described the distinction between our work and existing work and made our contributions more explicit.\n\nSection 4. Experiments\nSection 4.1 We added more explanation on the hypernym prediction test set.\nSection 4.2 We explained why ELK can work reasonably well on hypernym prediction. \nSection 4.4 We elaborated on the negative sample selection and discussed the results from using different combinations. We also added the result from using a symmetric model to Table 3.\n\nIn addition, we slightly changed the title and added additional keywords to facilitate better search for our paper."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Hierarchical Density Order Embeddings", "abstract": "By representing words with probability densities rather than point vectors, proba- bilistic word embeddings can capture rich and interpretable semantic information and uncertainty (Vilnis & McCallum, 2014; Athiwaratkun & Wilson, 2017). The uncertainty information can be particularly meaningful in capturing entailment relationships \u2013 whereby general words such as \u201centity\u201d correspond to broad distributions that encompass more specific words such as \u201canimal\u201d or \u201cinstrument\u201d. We introduce density order embeddings, which learn hierarchical representations through encapsulation of probability distributions. In particular, we propose simple yet effective loss functions and distance metrics, as well as graph-based schemes to select negative samples to better learn hierarchical probabilistic representations. Our approach provides state-of-the-art performance on the WordNet hypernym relationship prediction task and the challenging HyperLex lexical entailment dataset \u2013 while retaining a rich and interpretable probabilistic representation.", "pdf": "/pdf/624b0696a4d1350d69bfe3038a262605a978bf9e.pdf", "paperhash": "athiwaratkun|hierarchical_density_order_embeddings", "_bibtex": "@inproceedings{\nathiwaratkun2018on,\ntitle={On Modeling Hierarchical Data via Probabilistic Order Embeddings},\nauthor={Ben Athiwaratkun and Andrew Gordon Wilson},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=HJCXZQbAZ},\n}", "keywords": ["embeddings", "word embeddings", "probabilistic embeddings", "hierarchical representation", "probabilistic representation", "order embeddings", "wordnet", "hyperlex"], "authors": ["Ben Athiwaratkun", "Andrew Gordon Wilson"], "authorids": ["pa338@cornell.edu", "andrew@cornell.edu"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1516825724022, "id": "ICLR.cc/2018/Conference/-/Paper1122/Official_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "HJCXZQbAZ", "writers": {"values-regex": "ICLR.cc/2018/Conference/Paper1122/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper1122/Authors|ICLR.cc/2018/Conference/Paper1122/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper1122/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper1122/Authors|ICLR.cc/2018/Conference/Paper1122/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Paper1122/Authors_and_Higher", "ICLR.cc/2018/Conference/Paper1122/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Paper1122/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2018/Conference/Paper1122/Reviewers", "ICLR.cc/2018/Conference/Paper1122/Authors", "ICLR.cc/2018/Conference/Paper1122/Area_Chair", "ICLR.cc/2018/Conference/Program_Chairs"], "cdate": 1516825724022}}}, {"tddate": null, "ddate": null, "tmdate": 1514610346635, "tcdate": 1514610346635, "number": 4, "cdate": 1514610346635, "id": "BJ73RqEXf", "invitation": "ICLR.cc/2018/Conference/-/Paper1122/Official_Comment", "forum": "HJCXZQbAZ", "replyto": "ryk5RqN7G", "signatures": ["ICLR.cc/2018/Conference/Paper1122/Authors"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Paper1122/Authors"], "content": {"title": "[Continued] Response to AnonReviewer2", "comment": "[novelty] Aside from the foundational importance of asymmetry in divergences for probabilistic order embeddings, there is much other interesting novelty in the paper too. We propose new training procedures that learn highly effective Gaussian embeddings in the supervised setting. The new changes include (1) using max-margin loss (Equation 7) instead of rank loss (Equation 1); (2) using a divergence threshold to induce soft partial orders and prevent unnecessary penalization; (3) a new scheme to select negative samples for max-margin loss; (4) investigating other hyperparameters that are important for density encapsulation such as adjusting variance scale; (5) proposing and investigating general alpha divergences as metrics between word densities. This direction is significant \u2014 analogous to exploring Renyi divergences instead of variational KL divergences for approximate Bayesian inference.\n\nIn general, despite the great promise of probabilistic embeddings, such approaches have not been widely explored, and their use in order embeddings -- where they are perhaps most natural -- is essentially uncharted territory.\n\nThe empirical results are generally quite strong. Not all results are positive (for example, we found alpha divergences to not improve on KL), but there is certainly great value in honestly reporting conceptually interesting experiments, especially if there are negative results, which tend to go under-reported. Many of the results (as discussed above) are also positive.\n\n[Effects of new negative sampling] Note that the traditional approach of Vendrov 2015 uses the sampling scheme S1. From Table 4, using S1 alone results in the HyperLex score of at most 0.527. However, using our proposed approaches (S1 together with S2, S3, S4 with different heuristic combination) results in a significant increase in performance in most (if not all) cases, allowing us to achieve a score of 0.590 (~12% increase). We would like to point out that this is a strength of our proposed negative sampling methods (S2, S3, S4) since most combinations provide an increase in performance. \n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Hierarchical Density Order Embeddings", "abstract": "By representing words with probability densities rather than point vectors, proba- bilistic word embeddings can capture rich and interpretable semantic information and uncertainty (Vilnis & McCallum, 2014; Athiwaratkun & Wilson, 2017). The uncertainty information can be particularly meaningful in capturing entailment relationships \u2013 whereby general words such as \u201centity\u201d correspond to broad distributions that encompass more specific words such as \u201canimal\u201d or \u201cinstrument\u201d. We introduce density order embeddings, which learn hierarchical representations through encapsulation of probability distributions. In particular, we propose simple yet effective loss functions and distance metrics, as well as graph-based schemes to select negative samples to better learn hierarchical probabilistic representations. Our approach provides state-of-the-art performance on the WordNet hypernym relationship prediction task and the challenging HyperLex lexical entailment dataset \u2013 while retaining a rich and interpretable probabilistic representation.", "pdf": "/pdf/624b0696a4d1350d69bfe3038a262605a978bf9e.pdf", "paperhash": "athiwaratkun|hierarchical_density_order_embeddings", "_bibtex": "@inproceedings{\nathiwaratkun2018on,\ntitle={On Modeling Hierarchical Data via Probabilistic Order Embeddings},\nauthor={Ben Athiwaratkun and Andrew Gordon Wilson},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=HJCXZQbAZ},\n}", "keywords": ["embeddings", "word embeddings", "probabilistic embeddings", "hierarchical representation", "probabilistic representation", "order embeddings", "wordnet", "hyperlex"], "authors": ["Ben Athiwaratkun", "Andrew Gordon Wilson"], "authorids": ["pa338@cornell.edu", "andrew@cornell.edu"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1516825724022, "id": "ICLR.cc/2018/Conference/-/Paper1122/Official_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "HJCXZQbAZ", "writers": {"values-regex": "ICLR.cc/2018/Conference/Paper1122/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper1122/Authors|ICLR.cc/2018/Conference/Paper1122/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper1122/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper1122/Authors|ICLR.cc/2018/Conference/Paper1122/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Paper1122/Authors_and_Higher", "ICLR.cc/2018/Conference/Paper1122/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Paper1122/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2018/Conference/Paper1122/Reviewers", "ICLR.cc/2018/Conference/Paper1122/Authors", "ICLR.cc/2018/Conference/Paper1122/Area_Chair", "ICLR.cc/2018/Conference/Program_Chairs"], "cdate": 1516825724022}}}, {"tddate": null, "ddate": null, "tmdate": 1514610311207, "tcdate": 1514610311207, "number": 3, "cdate": 1514610311207, "id": "ryk5RqN7G", "invitation": "ICLR.cc/2018/Conference/-/Paper1122/Official_Comment", "forum": "HJCXZQbAZ", "replyto": "HyGYccUxz", "signatures": ["ICLR.cc/2018/Conference/Paper1122/Authors"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Paper1122/Authors"], "content": {"title": "Response to AnonReviewer2", "comment": "We thank the reviewer for thoughtful comments.\n\nTo address the importance of directionality, we clarify the differences in using symmetric measures to train versus to evaluate. We also highlight and explain the major empirical differences for the purpose of order embeddings.\n\n[Symmetric Measure for Training] In Section 3.3.2: Symmetric Divergence, we describe why symmetric measures can be used to train embeddings that reflect hierarchy:\n\t\t\t\n\u201cIntuitively, the asymmetric measures should be more successful at training density order embeddings. However, a symmetric measure can result in the encapsulation order as well since a general entity often has to minimize the penalty with many specific elements and consequently ends up having a broad distribution.\u201d\n\nFor further explanation, consider a scenario where we have true relationships a -> c and b -> c and use a symmetric training measure to train the embeddings (x -> y denotes x entails y). The desired outcome is such that the distribution of \u2018c\u2019 encapsulates the distribution of \u2018a\u2019 as well as \u2018b\u2019. To satisfy this, the distribution of \u2018c\u2019 ends up being broad and encompass both \u2018a\u2019 and \u2018b\u2019. to lower the average loss.\n\nWe emphasize that at evaluation time, if we use symmetric measures to generate entailment scores, we would end up discarding the directionality and thus hurt the performance. This brings us to the next point, where we discuss the empirical differences, underscoring the foundational importance of an asymmetric measure.\n\n[KL for directionality]\n\nThe directionality of KL is crucial to capture hierarchical information. In our experiments, when our model is trained with the symmetric ELK distance, using ELK to generate encapsulation scores results in poor performance of 0.455 whereas using KL yields 0.532. This difference is described in section 4.4.\n\nWith regards to the performance of ELK in Table 1, negative log ELK, a symmetric distance metric, can generate meaningful scores for word pairs that do not have directional relationships, such as \u2018animal\u2019 and \u2018location\u2019. This is because these non-relationship density pairs do not significantly overlap and ELK-based metric would yield high distance value. However, this metric is not suitable for capturing directionality of relationships such as \u2018animal\u2019 and \u2018dog\u2019.\n\nFor example, Table 2 which illustrates the values of KL divergences between many word pairs, underscores the foundational importance of KL\u2019s directionality. For instance, KL(\u2018object\u2019 | \u2018physical_entity\u2019) = 152, whereas the reverse case KL(\u2018physical_entity\u2019 | \u2018object\u2019) = 6618. Based on the prediction threshold of 1900 (selected via validation set), we correctly predict that \u2018object\u2019 entails \u2018physical_entity\u2019 (since 152 << 1900) but \u2018physical_entity\u2019 does not entail \u2018object\u2019 (6618 >> 1900). The entailment score function (negative KL) also nicely assigns high scores to the true hypernym pairs such as (\u2018object\u2019 -> \u2018physical_entity\u2019, with score -152) and low scores for the non-hypernym pairs such as (\u2018physical_entity\u2019 -> \u2018object\u2019, with score -6618). This behavior is important to measure the degree of lexical entailment. If the evaluation divergence were symmetric, (\u2018object\u2019 -> \u2018physical_entity\u2019) and (\u2018physical_entity\u2019 -> \u2018object\u2019) would have the same score, which is very undesirable, since these pairs do not have the same degree of entailment.\n\n[unit variance] It is true that if the variance components are all the same (being 1), the KL becomes symmetric. However, our learned distributions tend to have very different covariance matrices. Figure 4, the log det(Sigma) vary markedly among different concepts. The concepts that are more general such as `physical_entity\u2019 have very high log(det(Sigma)) of -219.67 compared to specific concepts such as \u2018city\u2019 with log(det(Sigma)) = -261.89. \n\n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Hierarchical Density Order Embeddings", "abstract": "By representing words with probability densities rather than point vectors, proba- bilistic word embeddings can capture rich and interpretable semantic information and uncertainty (Vilnis & McCallum, 2014; Athiwaratkun & Wilson, 2017). The uncertainty information can be particularly meaningful in capturing entailment relationships \u2013 whereby general words such as \u201centity\u201d correspond to broad distributions that encompass more specific words such as \u201canimal\u201d or \u201cinstrument\u201d. We introduce density order embeddings, which learn hierarchical representations through encapsulation of probability distributions. In particular, we propose simple yet effective loss functions and distance metrics, as well as graph-based schemes to select negative samples to better learn hierarchical probabilistic representations. Our approach provides state-of-the-art performance on the WordNet hypernym relationship prediction task and the challenging HyperLex lexical entailment dataset \u2013 while retaining a rich and interpretable probabilistic representation.", "pdf": "/pdf/624b0696a4d1350d69bfe3038a262605a978bf9e.pdf", "paperhash": "athiwaratkun|hierarchical_density_order_embeddings", "_bibtex": "@inproceedings{\nathiwaratkun2018on,\ntitle={On Modeling Hierarchical Data via Probabilistic Order Embeddings},\nauthor={Ben Athiwaratkun and Andrew Gordon Wilson},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=HJCXZQbAZ},\n}", "keywords": ["embeddings", "word embeddings", "probabilistic embeddings", "hierarchical representation", "probabilistic representation", "order embeddings", "wordnet", "hyperlex"], "authors": ["Ben Athiwaratkun", "Andrew Gordon Wilson"], "authorids": ["pa338@cornell.edu", "andrew@cornell.edu"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1516825724022, "id": "ICLR.cc/2018/Conference/-/Paper1122/Official_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "HJCXZQbAZ", "writers": {"values-regex": "ICLR.cc/2018/Conference/Paper1122/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper1122/Authors|ICLR.cc/2018/Conference/Paper1122/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper1122/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper1122/Authors|ICLR.cc/2018/Conference/Paper1122/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Paper1122/Authors_and_Higher", "ICLR.cc/2018/Conference/Paper1122/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Paper1122/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2018/Conference/Paper1122/Reviewers", "ICLR.cc/2018/Conference/Paper1122/Authors", "ICLR.cc/2018/Conference/Paper1122/Area_Chair", "ICLR.cc/2018/Conference/Program_Chairs"], "cdate": 1516825724022}}}, {"tddate": null, "ddate": null, "tmdate": 1514557342521, "tcdate": 1514557342521, "number": 2, "cdate": 1514557342521, "id": "SJIsJCXQG", "invitation": "ICLR.cc/2018/Conference/-/Paper1122/Official_Comment", "forum": "HJCXZQbAZ", "replyto": "SyRynl9eM", "signatures": ["ICLR.cc/2018/Conference/Paper1122/Authors"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Paper1122/Authors"], "content": {"title": "Response to AnonReviewer3", "comment": "Thank you for your thoughtful comments and your interest in the paper. Please see our responses below.\n\n[Clarification on Introduction] \n\nIndeed the scarcity of lexical relationships in natural text corpus is not the problem we aim to solve in this paper. We brought this up to emphasize the importance of modeling hierarchical data via *supervised* learning directly on hierarchical data, without relying on word occurrence patterns in the unsupervised approach. Note that in the unsupervised setting, the Gaussian distributions are trained based on word occurrences in natural sentences. In the supervised setting, we model the hierarchical data by minimizing the loss directly on relationship pairs. \n\nThe supervised learning of Gaussian densities has not been thoroughly considered in the existing literature. The main goal of our paper is to investigate this highly consequential task. Vilnis (2015) proposed a Gaussian embedding model that works well for unsupervised task (semantic word embeddings). While the approach can be directly applied to supervised case, the performance is often quite poor based on results reported in Vendrov (2015) and Vuli\\'c (2016) . Our paper, on the other hand, shows the opposite finding that the performance of Gaussian embeddings can be highly competitive so long as we use our different new training approach. We would like to emphasize the significance of this direction: despite their intuitive benefits in providing rich representations for words, probabilistic word embeddings are relatively unexplored. Such embeddings are only considered in a small handful of papers, and in these papers there is no serious consideration of where these embeddings would be most natural, such as in ordered representations.\n\nWe would also like to emphasize that we do introduce new methodology in our paper. We propose new training procedures that learn highly effective Gaussian embeddings in the supervised setting. The new changes include (1) using max-margin loss (Equation 7) instead of rank loss (Equation 1); (2) using a divergence threshold to induce soft partial orders and prevent unnecessary penalization; (3) a new scheme to select negative samples for max-margin loss; (4) investigating other hyperparameters that are important for density encapsulation such as adjusting variance scale; (5) proposing and investigating general alpha divergences as metrics between word densities. This direction is significant \u2014 analogous to exploring Renyi divergences instead of variational KL divergences for approximate Bayesian inference.\nWe thank the reviewer for the questions/comments and we have modified the introduction to make our contributions more clear.\n\n[Hyperlex] HyperLex is an evaluation dataset where the instances in HyperLex have some lexical relationships. Instances that have true hypernym relationships have high scores, and instances \nwithout true hypernym relationships have lower scores. \n\n[Test Set] 4000 Hypernym pairs are selected randomly from the transitive closure of WordNet. The random split is 4000 for validation set, 4000 for test set, and the rest for training. \n\n[Diagonal Covariance] The diagonal covariance enables fast training. The complexity of the objective for \nd-dimensional is O(d) for diagonal case as opposed to O(d^3) in the full covariance case. \nThis is due to the inverse term in our divergences. Note we use a full diagonal covariance versus a scaled identity. Relative to standard word embeddings, such as word2vec, a probabilistic density, even with a diagonal covariance, is highly flexible.\n\n[Figure 4] Yes, we can see that \u2018location\u2019 and \u2018living_thing\u2019 are visually overlapping. However, \nKL(\u2018location\u2019 | \u2018living_thing\u2019) = 6794 and KL(\u2018living_thing\u2019 | \u2018location\u2019) = 4324, which is higher than the threshold of 1900 (picked using validation set), which means that we do not predict that these words entail one another in either direction. There are some mistakes, however, such as for \u2018location\u2019 | \u2018object\u2019, which can happen when there are not enough negative examples of the pair (\u2018location\u2019 (not) > \u2018object\u2019) to contrast in the training. Our proposed negative sampling approach helps alleviate this problem."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Hierarchical Density Order Embeddings", "abstract": "By representing words with probability densities rather than point vectors, proba- bilistic word embeddings can capture rich and interpretable semantic information and uncertainty (Vilnis & McCallum, 2014; Athiwaratkun & Wilson, 2017). The uncertainty information can be particularly meaningful in capturing entailment relationships \u2013 whereby general words such as \u201centity\u201d correspond to broad distributions that encompass more specific words such as \u201canimal\u201d or \u201cinstrument\u201d. We introduce density order embeddings, which learn hierarchical representations through encapsulation of probability distributions. In particular, we propose simple yet effective loss functions and distance metrics, as well as graph-based schemes to select negative samples to better learn hierarchical probabilistic representations. Our approach provides state-of-the-art performance on the WordNet hypernym relationship prediction task and the challenging HyperLex lexical entailment dataset \u2013 while retaining a rich and interpretable probabilistic representation.", "pdf": "/pdf/624b0696a4d1350d69bfe3038a262605a978bf9e.pdf", "paperhash": "athiwaratkun|hierarchical_density_order_embeddings", "_bibtex": "@inproceedings{\nathiwaratkun2018on,\ntitle={On Modeling Hierarchical Data via Probabilistic Order Embeddings},\nauthor={Ben Athiwaratkun and Andrew Gordon Wilson},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=HJCXZQbAZ},\n}", "keywords": ["embeddings", "word embeddings", "probabilistic embeddings", "hierarchical representation", "probabilistic representation", "order embeddings", "wordnet", "hyperlex"], "authors": ["Ben Athiwaratkun", "Andrew Gordon Wilson"], "authorids": ["pa338@cornell.edu", "andrew@cornell.edu"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1516825724022, "id": "ICLR.cc/2018/Conference/-/Paper1122/Official_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "HJCXZQbAZ", "writers": {"values-regex": "ICLR.cc/2018/Conference/Paper1122/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper1122/Authors|ICLR.cc/2018/Conference/Paper1122/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper1122/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper1122/Authors|ICLR.cc/2018/Conference/Paper1122/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Paper1122/Authors_and_Higher", "ICLR.cc/2018/Conference/Paper1122/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Paper1122/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2018/Conference/Paper1122/Reviewers", "ICLR.cc/2018/Conference/Paper1122/Authors", "ICLR.cc/2018/Conference/Paper1122/Area_Chair", "ICLR.cc/2018/Conference/Program_Chairs"], "cdate": 1516825724022}}}, {"tddate": null, "ddate": null, "tmdate": 1514556616162, "tcdate": 1514556616162, "number": 1, "cdate": 1514556616162, "id": "ryeRnpmmz", "invitation": "ICLR.cc/2018/Conference/-/Paper1122/Official_Comment", "forum": "HJCXZQbAZ", "replyto": "rk63KZixz", "signatures": ["ICLR.cc/2018/Conference/Paper1122/Authors"], "readers": ["everyone"], "writers": ["ICLR.cc/2018/Conference/Paper1122/Authors"], "content": {"title": "Response to AnonReviewer1", "comment": "Thank you for your thoughtful and supportive comments. Please see our responses below. \n\n[Misspelled names and reference errors] Thank you for pointing this out. We have corrected the spelling and reference errors. \n\n[Equation 7] Socher et al. 2013 and Vendrov 2015 uses this loss in their tasks.\n\n[Effects of Divergence Threshold] \n\nVendrov\u2019s WordNet test set is a test of 4000 positive pairs as well as 4000 negative pairs, where the negative pairs are selected using random sampling. We fix the same test set across all experiments. \n\nIn the Appendix, Section A.2.1, we show the effects of the divergence threshold (gamma) on the test accuracy. Figure 5 shows that there is an optimal gamma value which yields the best scores on hypernym prediction and lexical entailment.The intuition is as follows: zero gamma corresponds to penalizing any two distributions that do not perfectly overlap (since D is the lowest if and only if the two distributions are equal). This behaviour is undesirable: if a distribution is correctly encapsulated by a parent distribution we should not further penalize the embeddings. High gamma corresponds to low penalization among many distribution pairs \u2014 a gamma value that is \u201ctoo high\u201d is lenient, since there might not be sufficient penalization in the loss function to help learn optimal embeddings. \n\n[Similarity and Relatedness] \n\nWe believe that similarity and relatedness would be more suitable for word embeddings trained on word occurrences in a natural corpus (word2vec, GloVe, word2gauss), because our embeddings model the hierarchical structure rather than the semantics of concepts. In Section 5, we discussed the future direction where we plan to use the idea to enhance word embeddings (Gaussian word distributions) by incorporating the supervised training (using labels from WordNet, for instance) with the unsupervised training on text corpus. The ideal scenario would be that the Gaussian embeddings would have high word similarity scores and also exhibit hierarchical structure that yields good hypernym prediction and graded lexical entailment scores. \n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Hierarchical Density Order Embeddings", "abstract": "By representing words with probability densities rather than point vectors, proba- bilistic word embeddings can capture rich and interpretable semantic information and uncertainty (Vilnis & McCallum, 2014; Athiwaratkun & Wilson, 2017). The uncertainty information can be particularly meaningful in capturing entailment relationships \u2013 whereby general words such as \u201centity\u201d correspond to broad distributions that encompass more specific words such as \u201canimal\u201d or \u201cinstrument\u201d. We introduce density order embeddings, which learn hierarchical representations through encapsulation of probability distributions. In particular, we propose simple yet effective loss functions and distance metrics, as well as graph-based schemes to select negative samples to better learn hierarchical probabilistic representations. Our approach provides state-of-the-art performance on the WordNet hypernym relationship prediction task and the challenging HyperLex lexical entailment dataset \u2013 while retaining a rich and interpretable probabilistic representation.", "pdf": "/pdf/624b0696a4d1350d69bfe3038a262605a978bf9e.pdf", "paperhash": "athiwaratkun|hierarchical_density_order_embeddings", "_bibtex": "@inproceedings{\nathiwaratkun2018on,\ntitle={On Modeling Hierarchical Data via Probabilistic Order Embeddings},\nauthor={Ben Athiwaratkun and Andrew Gordon Wilson},\nbooktitle={International Conference on Learning Representations},\nyear={2018},\nurl={https://openreview.net/forum?id=HJCXZQbAZ},\n}", "keywords": ["embeddings", "word embeddings", "probabilistic embeddings", "hierarchical representation", "probabilistic representation", "order embeddings", "wordnet", "hyperlex"], "authors": ["Ben Athiwaratkun", "Andrew Gordon Wilson"], "authorids": ["pa338@cornell.edu", "andrew@cornell.edu"]}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "multiReply": null, "taskCompletionCount": null, "tmdate": 1516825724022, "id": "ICLR.cc/2018/Conference/-/Paper1122/Official_Comment", "writers": ["ICLR.cc/2018/Conference"], "signatures": ["ICLR.cc/2018/Conference"], "readers": ["everyone"], "reply": {"replyto": null, "forum": "HJCXZQbAZ", "writers": {"values-regex": "ICLR.cc/2018/Conference/Paper1122/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper1122/Authors|ICLR.cc/2018/Conference/Paper1122/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs"}, "signatures": {"values-regex": "ICLR.cc/2018/Conference/Paper1122/AnonReviewer[0-9]+|ICLR.cc/2018/Conference/Paper1122/Authors|ICLR.cc/2018/Conference/Paper1122/Area_Chair|ICLR.cc/2018/Conference/Program_Chairs", "description": "How your identity will be displayed with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "value-dropdown": ["everyone", "ICLR.cc/2018/Conference/Paper1122/Authors_and_Higher", "ICLR.cc/2018/Conference/Paper1122/Reviewers_and_Higher", "ICLR.cc/2018/Conference/Paper1122/Area_Chairs_and_Higher", "ICLR.cc/2018/Conference/Program_Chairs"]}, "content": {"title": {"required": true, "order": 0, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"required": true, "order": 1, "description": "Your comment or reply (max 5000 characters).", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2018/Conference/Paper1122/Reviewers", "ICLR.cc/2018/Conference/Paper1122/Authors", "ICLR.cc/2018/Conference/Paper1122/Area_Chair", "ICLR.cc/2018/Conference/Program_Chairs"], "cdate": 1516825724022}}}], "count": 11} |
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{"poster":"NinthToothbrus","date":"2015-08-08T08:53:26.882+0000","title":"[PROBLEMA] Caricamento , pls","subforum":"Aiuto e supporto","up_votes":3,"down_votes":0,"body":"Dal caricamento di un ARAM recente LoL carica i game LEEEEENTISSSSSIMo e poi fallisce . Ho provato a reinstallare . Non dovrei avere problemi di connessione . Guild Wars 2 mi funziona e anche rocket league anche se ultimamente fa in ritardo ALT-TAB. Ho temperature CPU altine tipo sui 70/80 gradi ma nn dovrebbe creare certi tipi di problema. Ormai sto iniziando a pensare che o è un problema di LoL o della mia CPU che però poveraccia non ha mai fatto niente di male ( gioco a LoL su questo pc da un annetto ormai)","replies":[{"poster":"RASHIL MadLife","date":"2015-08-08T08:54:57.652+0000","up_votes":2,"down_votes":0,"body":"Spero che qualcuno ti possa aiutare","replies":[]},{"poster":"Frankie135","date":"2015-08-09T18:44:54.378+0000","up_votes":1,"down_votes":0,"body":"Non so se è uguale ma anche a me da un giorno a l'altro gli fps hanno deciso di non rimanere stabili. Ho tutti i driver aggiornati e una scheda video potente, 2 ventole di supporto per il surriscaldamento. Ho fatto il repair di tutti i file di lol ma niente, nei team fight mi scendono a 10 e risulta ingiocabile...idee?","replies":[{"poster":"NinthToothbrus","date":"2015-08-10T14:53:54.852+0000","up_votes":1,"down_votes":0,"body":"cambia pc","replies":[]}]},{"poster":"Thegianners14","date":"2015-08-08T08:56:56.589+0000","up_votes":1,"down_votes":0,"body":"Non saprei se è come dici maaaaaaagaaaaarrii la CPU si è rovinata dopo un eccessivo sforzo involontario, forse un bug dovuta all'apertura di programmi ( mklol ) durante il caricamento","replies":[{"poster":"Thegianners14","date":"2015-08-08T08:57:55.357+0000","up_votes":1,"down_votes":0,"body":"pero se è CPU rovinata dovrebbe darti problemi anche su altri giochi e se è un bug dopo averlo reinstallato dovrebbe essersi risolto","replies":[]}]}]} |
{"poster":"Thix","date":"2015-05-20T20:49:58.963+0000","title":"Ekko invade i server","subforum":"Discussioni generali","up_votes":1,"down_votes":1,"body":"Sono in normal, ad un certo punto compare la scritta: \"'NomeEvocatore' has paused the game\" e ci ritroviamo tutti bloccati. Non credo esista qualcuno che si metta a \"drophackare\" in normal, spiegazioni?","replies":[{"poster":"Ediwir","date":"2015-05-21T01:06:10.969+0000","up_votes":2,"down_votes":0,"body":"E' un errore di disconnessione :) Capita alle volte... Il perché esca fuori il messaggio di pausa non lo so, ma so che succede. Quando si disconnettono tutti prende un tizio a caso e manda la riga di notifica pausa. Se qualcuno si riconnette prima che cada la partita, si vede la scritta.","replies":[]}]} |
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