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{"response": {"status": "ok", "userTier": "developer", "total": 1, "content": {"id": "world/2008/feb/13/hillaryclinton.uselections20082", "type": "article", "sectionId": "us-news", "sectionName": "US news", "webPublicationDate": "2008-02-13T19:51:46Z", "webTitle": "Hillary Clinton struggles to convince Democrats she can secure big victories in coming weeks", "webUrl": "https://www.theguardian.com/world/2008/feb/13/hillaryclinton.uselections20082", "apiUrl": "https://content.guardianapis.com/world/2008/feb/13/hillaryclinton.uselections20082", "fields": {"headline": "Clinton struggles to convince party she's still in it", "bodyText": "Hillary Clinton's campaign today struggled to convince Democrats she can deliver the strong wins she needs in the power house states of Texas and Ohio to remain a viable candidate. A day after Barack Obama's sweep of three primary contests around Washington DC, Clinton suffered an even more personal rejection today when David Wilhelm, who managed her husband's 1992 campaign for the White House endorsed her opponent. The defection came as Obama began to peel away sections of Clinton's supporting coalition among working-class households, women, Catholics and older voters, to win primaries in Virginia, Maryland and Washington DC by overwhelming margins last night. Clinton's strategist, Mark Penn, tried to downplay the importance of momentum to Obama, who now has a string of eight consecutive wins. \"Winning Democratic primaries is not a qualification for who can win the general election,\" he told a conference call with reporters. But other campaign aides indicated that Clinton's hopes of turning the contest around with big wins in the mega states of Texas and Ohio on March 4 might not work. Her field director, Guy Cecil, said the campaign was looking even further ahead to Pennsylvania, which votes on April 22. It was setting up offices in a string of small contests from Kentucky to Puerto Rico, which holds the last primary on June 7, in the hopes of catching up with Obama at the finish line. Obama did not stand still today. He used his three big wins to broaden his campaign message from his inspirational stump speech to bread-and-butter issues \u2014 which had once been seen as Clinton's strength. In a speech flagged up by the campaign as a major policy address, Obama linked the faltering economy to the old-style Washington politics. \"It's a Washington where politicians like John McCain and Hillary Clinton voted for a war in Iraq that should never have been authorised and never been waged \u2014 a war that is costing us thousands of precious lives and billions of dollars a week,\" Obama said in a speech from a General Motors plant in Wisconsin, according to excerpts released in advance. The focus on the economy and the reference to McCain, the presumptive Republican nominee, suggest Obama has embraced the role of Democratic frontrunner as the contest moves towards a decisive phase. Obama aides said future addresses would focus on the economic issues expected to resonate strongly with Democratic voters ahead of primary contests in the power house states of Texas and Ohio on March 4. \"He will focus on the message that matters most to the people in those states, which is of course the economy,\" Susan Rice, an adviser, told CNN. Obama's decision to retool his message for Texas and Ohio, states which have been hit badly by the housing crisis and economic downturn, represents a direct challenge to Clinton. In opinion polls, Clinton has led Obama among voters concerned about the economy, while he dominates among those who list the Iraq war as a key issue. The viability of her campaign for the Democratic nomination now depends on whether she can deliver strong wins in the powerhouse states of Texas and Ohio on March 4. But by that date, she could well be running even further behind Obama. With Obama now favoured in two contests next week in Hawaii and Wisconsin, he could well extend his winning streak to 10-0 against Clinton by the time of the showdown in Texas and Ohio. Clinton began airing television ads in Wisconsin today. With the results of Tuesday's contests, Obama today for the first time held a narrow lead over Clinton in the delegate race. He won Virginia, 64% to 35%, Maryland 60% to 36%, and Washington DC by 75% to 24%. That now gives Obama 1,224 delegates against 1,198 for Clinton, according to an Associated Press tally. In Virginia, Obama demonstrated once again than he is more popular than Clinton among white male voters. Even more worryingly for Clinton, he made significant inroads into her core areas of support: working-class households, women, Catholics and older voters."}, "isHosted": false, "pillarId": "pillar/news", "pillarName": "News"}}}
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{"poster":"Liuck27","date":"2016-07-18T09:38:29.920+0000","title":"Preferenze coda","subforum":"Aiuto e supporto","up_votes":2,"down_votes":2,"body":"Come faccio a selezionare il tipo di coda che preferisco^\r\nIntendo nelle ranked, per trovare solo persone che giocano senza premade.","replies":[{"poster":"Dantazzo","date":"2016-07-18T10:09:21.314+0000","up_votes":2,"down_votes":0,"body":"Non esiste nulla del genere.","replies":[{"poster":"Liuck27","date":"2016-07-18T13:39:01.390+0000","up_votes":1,"down_votes":0,"body":"se vai in leghe c'è una piccola icona vicino ai nomi dei giocatori con scritto una cosa del genere.","replies":[{"poster":"Darkinknight","date":"2016-07-18T13:51:29.436+0000","up_votes":1,"down_votes":0,"body":"Quello dice solo di solito se joini il game in solo,in premade o in gruppo..purtroppo le ranked sono solo di un tipo e i premade devi sorbirteli","replies":[]}]}]},{"poster":"Sexy Win","date":"2016-07-18T10:15:08.588+0000","up_votes":1,"down_votes":0,"body":"wuuuuuuuuuuuuuuuuuuuut ? ahahhahahha","replies":[]}]}
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{"_id":"A27055","titles":["A true believer's choice and pleasure Instanced in the exemplary life of Mrs Mary Coxe, the late wife of Doctor Thomas Coxe. Preached for her funeral by Richard Baxter."],"author":["Baxter, Richard, 1615-1691."],"place":"London :","date":"in the year, 1680.","publisher":"printed by R.E.,","notes":["Caption title on p. 1 reads: A true believer's choice and pleasure, &c.","Running title reads: A funeral sermon.","Includes errata on A3v.","Reproduction of the original in the Bodleian Library."],"editionDate":"1680","language":"eng","keywords":["Coxe, Mary, d. 1679 -- Early works to 1800.","Funeral sermons -- 17th century."]}
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{"poster":"estas frito XD","date":"2018-09-03T10:39:18.366+0000","title":"corte de luz","subforum":"Problemas Técnicos","up_votes":5,"down_votes":4,"body":"siempre me ponen en cola de baja prioridad no es mi culpa que se me corte la luz men no es justo no abandono partidas porque quiera se me corta laluz y me vuelvo a conectar","replies":[{"poster":"Mosh","date":"2018-09-03T14:21:55.483+0000","up_votes":4,"down_votes":0,"body":"Tampoco es justo que tu equipo se quede con uno menos porque a vos se te corta la luz.","replies":[]},{"poster":"Phaedra","date":"2018-09-03T14:33:06.968+0000","up_votes":3,"down_votes":0,"body":"\"men\" ... usa spanglish y ni debe saber si habla en plural o singular.","replies":[{"poster":"ANYASZOMORÍTÓK","date":"2018-09-03T16:19:35.518+0000","up_votes":2,"down_votes":0,"body":"When usas spanglish but no sabes lo que dices XDXdxdXDxD!!!!!\n\nUf creo que se me murió una neurona escribiendo eso.","replies":[{"poster":"Phaedra","date":"2018-09-03T19:26:21.695+0000","up_votes":1,"down_votes":0,"body":"O mai ga! xD","replies":[]}]}]},{"poster":"Earl Grey","date":"2018-09-03T13:53:07.081+0000","up_votes":3,"down_votes":0,"body":"encima que le cagas el game a todos venis a pedir que te saquen la pena, pero haceme el favor y vlve a nacer pedazo de troll","replies":[]},{"poster":"estas frito XD","date":"2018-09-03T10:41:13.656+0000","up_votes":1,"down_votes":2,"body":"quiero que me saquen eso sino tengo que esperar un monton para poder jugar y no es justo \n\naparte me siguen sumando minutos cada vez que pasa que alguien me ayude \n","replies":[{"poster":"iNGENiO","date":"2018-09-03T11:53:47.621+0000","up_votes":3,"down_votes":0,"body":"Tranquilo vengo al rescate!\n\nTe traigo la solución a tu problema.\n\nSe llama UPS.\n\nhttps://articulo.mercadolibre.com.ar/MLA-621214313-ups-estabilizador-trv-neo-850-850va-4-tomas-2-anos-garantia-_JM\n\nCuando se corta la luz seguis jugando hasta terminar la partida!\n\nSaludos.","replies":[]},{"poster":"LaReinaPingüino","date":"2018-09-03T18:21:19.643+0000","up_votes":1,"down_votes":0,"body":"Mejor dicho quieres volver a entrar a jugar para dejar a 4 personas jugando 4 vs 5 muchas veces mas.","replies":[]}]},{"poster":"Loussiana","date":"2018-09-03T10:46:10.305+0000","up_votes":3,"down_votes":1,"body":"Hola.\n\nPrimero que nada, el responsable eres tu.\nTodos tenemos emergencias como cortes de luz o caidas de internet, pero si tu estas conciente de tu problema de corte de luz, ¿Porque sigues jugando?\nRiot creo un robot para banear o poner gente con problemas de caida por lo mismo.\n\nAntes que juege, y venir a reclamar, revise como usted juega o si puede jugar.\nSi no se puede jugar, no juege, SIMPLE.\n\nSaludos\n{{sticker:sg-lux-2}}","replies":[{"poster":"SG naiko ","date":"2018-09-03T12:27:33.716+0000","up_votes":1,"down_votes":0,"body":"Y si el juego tira de error porque es muy bueno, y me penalizan por algo que es culpa suya. (Cosa que ya envie ticket hace 1 dia y no responden y la gente dice que este es un buen soporte) Que pasa?","replies":[{"poster":"Koffy","date":"2018-09-03T17:46:54.438+0000","up_votes":1,"down_votes":0,"body":"Para algo esta el chat beta te responden altiro.","replies":[{"poster":"SG naiko ","date":"2018-09-03T23:36:45.791+0000","up_votes":1,"down_votes":0,"body":"No estaba habilitado.","replies":[]}]}]}]},{"poster":"Rixman","date":"2018-09-03T12:54:45.004+0000","up_votes":1,"down_votes":2,"body":"Lo mejor que podes hacer es enviarle a Riot que es lo que te sucede, de otra forma seguiras en el mismo caso.","replies":[]}]}
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[{"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNS", ",", "RB", "."], "qSentId": 26, "question": "Is that what they call her -- female president?", "question_pos_tagged": ["VBZ", "IN", "WP", "PRP", "VBP", "PRP", ":", "JJ", "NN", "."], "aSentId": 27, "answer": "Yes, absolutely.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["DT", "VBZ", "WP", "VBN", "TO", "PRP", ",", "RB", "."], "qSentId": 36, "question": "What happened?", "question_pos_tagged": ["WP", "VBN", "."], "aSentId": 37, "answer": "That's what happened to me, too.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBP", "VBN", "."], "qSentId": 39, "question": "Were you disappointed as I was?", "question_pos_tagged": ["RB", "PRP", "VBD", "IN", "PRP", "VBD", "."], "aSentId": 40, "answer": "I'm devastated.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["RB", ",", "NNS", "."], "qSentId": 51, "question": "ORGAN: Is that how you felt?", "question_pos_tagged": ["NNP", ":", "VBZ", "IN", "WRB", "PRP", "VBD", "."], "aSentId": 52, "answer": "Absolutely, yes.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNP", ",", "RB", ",", "VB", "POS", "NN", "."], "qSentId": 77, "question": "What'd you rob?", "question_pos_tagged": ["WP", "JJ", "PRP", "VBP", "."], "aSentId": 78, "answer": "Hmm, well, let's see.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["UH", ",", "NNS", "."], "qSentId": 87, "question": "I mean, in Hollywood, people come back to life, don't they?", "question_pos_tagged": ["PRP", "VBP", ",", "IN", "NNP", ",", "NNS", "VBP", "RB", "TO", "VB", ",", "VB", "RB", "PRP", "."], "aSentId": 88, "answer": "Oh, yes.", "question_ne_tagged": {"LOCATION": ["Hollywood"]}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNP", ":", "JJ", "IN", "DT", ",", "WP", "VBN", "PRP", "RP", "TO", "VB", ":", "RB", ",", "RB", "."], "qSentId": 94, "question": "Was it all that it's cracked up to be, being in bed with a naked Brad Pitt?", "question_pos_tagged": ["NNP", "PRP", "DT", "DT", "PRP", "VBZ", "VBN", "RP", "TO", "VB", ",", "VBG", "IN", "JJ", "IN", "DT", "VBN", "NNP", "NNP", "."], "aSentId": 95, "answer": "Well -- first of all, who cracked it up to be -- well, anyway.", "question_ne_tagged": {"PERSON": ["Brad Pitt"]}}, {"answer_ne_tagged": {"PERSON": ["Thelma & Louise"]}, "docId": "110924pmt", "answer_pos_tagged": ["NNP", ",", "IN", "DT", "NN", "IN", "NNS", "VBD", "TO", "``", "NNP", "CC", "NNP", ",", "''", "PRP", "VBD", "DT", "JJ", "NN", "IN", "DT", "NN", "IN", "NNS", "NNS", "."], "qSentId": 106, "question": "Why do you feel so exercised about this?", "question_pos_tagged": ["WRB", "VBP", "PRP", "VB", "RB", "VBN", "IN", "DT", "."], "aSentId": 107, "answer": "Well, from the reaction that women had to \"Thelma & Louise,\" it was an incredible lesson in the power of media images.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNP", ":", "IN", ",", "PRP", "VBP", "DT", "NN", "IN", "POS", "RB", ":", "DT", "JJ", "VBN", "NN", "."], "qSentId": 118, "question": "What kind of thing?", "question_pos_tagged": ["WP", "NN", "IN", "NN", "."], "aSentId": 119, "answer": "Well -- so, I have an institute that's now -- a research- based institute.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNS", "."], "qSentId": 123, "question": "Is that right?", "question_pos_tagged": ["VBZ", "IN", "JJ", "."], "aSentId": 124, "answer": "Yes.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["DT", "JJ", "NN", "NN", "."], "qSentId": 150, "question": "Is that what you mean?", "question_pos_tagged": ["VBZ", "IN", "WP", "PRP", "VBP", "."], "aSentId": 151, "answer": "The first female president.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNP", ",", "IN", "DT", "NN", "."], "qSentId": 152, "question": "It's more likely to be one of these tea party candidates because they're the only ones who are currently showing their faces in this particular race?", "question_pos_tagged": ["PRP", "VBZ", "JJR", "JJ", "TO", "VB", "CD", "IN", "DT", "NN", "NN", "NNS", "IN", "PRP", "VBP", "DT", "JJ", "NNS", "WP", "VBP", "RB", "VBG", "PRP$", "NNS", "IN", "DT", "JJ", "NN", "."], "aSentId": 153, "answer": "Well, in this race.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBP", ":"], "qSentId": 156, "question": "It does, doesn't it?", "question_pos_tagged": ["PRP", "VBZ", ",", "VBZ", "RB", "PRP", "."], "aSentId": 157, "answer": "You know...", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBP", ",", "PRP", "VBD", "PRP", "RB", "RB", "."], "qSentId": 175, "question": "Is it giving you a little bit of the taste?", "question_pos_tagged": ["VBZ", "PRP", "VBG", "PRP", "DT", "RB", "NN", "IN", "DT", "NN", "."], "aSentId": 176, "answer": "You know, I liked it very much.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBP", "RB", "JJ", "IN", "POS", "NN", "POS", "NN", "."], "qSentId": 194, "question": "That's an advantage, isn't it?", "question_pos_tagged": ["DT", "VBZ", "DT", "NN", ",", "VBZ", "RB", "PRP", "."], "aSentId": 195, "answer": "I'm not sure that's everyone's reaction.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNP", ",", "IN", "RB", "WP", "PRP", "VBD", "VBG", "IN", "IN", "NN", "TO", "NNS", "POS", "NNS", "VBZ", "VBP", "JJR", "JJ", "NNS", "CC", "VBP", "PRP", "VBP", "JJR", "JJ", "NNS", "."], "qSentId": 206, "question": "Where could Hollywood still improve, do you think?", "question_pos_tagged": ["WRB", "MD", "NNP", "RB", "VB", ",", "VB", "PRP", "VB", "."], "aSentId": 207, "answer": "Well, in exactly what I was talking about in reference to kids' movies is have more female characters and have them do more interesting things.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNS", ",", "NNS", "."], "qSentId": 222, "question": "We're in this together, right?", "question_pos_tagged": ["PRP", "VBP", "IN", "DT", "NN", ",", "RB", "."], "aSentId": 223, "answer": "Yes, yes.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["DT", "."], "qSentId": 224, "question": "You're not going to say no, are you?", "question_pos_tagged": ["PRP", "VBP", "RB", "VBG", "TO", "VB", "DT", ",", "VBP", "PRP", "."], "aSentId": 225, "answer": "No.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBP", "."], "qSentId": 228, "question": "You're available?", "question_pos_tagged": ["PRP", "VBP", "JJ", "."], "aSentId": 229, "answer": "I am.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBP", "JJ", "."], "qSentId": 230, "question": "You can start Monday?", "question_pos_tagged": ["PRP", "MD", "VB", "NNP", "."], "aSentId": 231, "answer": "I'm ready.", "question_ne_tagged": {"DATE": ["Monday"]}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["DT", "VBZ", "JJ", "."], "qSentId": 258, "question": "Is that right?", "question_pos_tagged": ["VBZ", "IN", "JJ", "."], "aSentId": 259, "answer": "That is true.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBP", "DT", "JJ", "NN", "."], "qSentId": 295, "question": "Are you a good girl in real life?", "question_pos_tagged": ["NNP", "PRP", "DT", "JJ", "NN", "IN", "JJ", "NN", "."], "aSentId": 296, "answer": "I'm a real mix.", "question_ne_tagged": {}}, {"answer_ne_tagged": {"TIME": ["late night"]}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBD", "DT", "JJ", "NN", "."], "qSentId": 300, "question": "I heard after the Emmy triumph on Sunday, you had a rather late night, Julianna?", "question_pos_tagged": ["PRP", "VBP", "IN", "DT", "NNP", "NN", "IN", "NNP", ",", "PRP", "VBD", "DT", "RB", "JJ", "NN", ",", "NNP", "."], "aSentId": 301, "answer": "We had a late night.", "question_ne_tagged": {"DATE": ["Sunday"], "PERSON": ["Julianna"], "TIME": ["late night"]}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["DT", "VBZ", "DT", "RB", "JJ", "NN", "CC", "PRP", "VBP", "VBP", "IN", "RB", "CC", "PRP", "VBP", "PRP", "VBZ", "JJ", "IN", "DT", "NN", "."], "qSentId": 312, "question": "So, what does it mean to be a good wife?", "question_pos_tagged": ["IN", ",", "WP", "VBZ", "PRP", "VB", "TO", "VB", "DT", "JJ", "NN", "."], "aSentId": 313, "answer": "That's a very good question And they do ask that often and I think it's different for every person.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBD", "."], "qSentId": 332, "question": "Did you actually strike the poor man?", "question_pos_tagged": ["NNP", "PRP", "RB", "VBP", "DT", "JJ", "NN", "."], "aSentId": 333, "answer": "I did.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "RB", "VBP", "PRP", "MD", "VB", "IN", "DT", "NN", "."], "qSentId": 349, "question": "Would you stand by your man?", "question_pos_tagged": ["MD", "PRP", "VB", "IN", "PRP$", "NN", "."], "aSentId": 350, "answer": "I really think it would depend on the situation.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNP", ",", "RB", ",", "WRB", "PRP", "VBD", ":", "WRB", "PRP", "VBP", "RB", "JJ", ",", "PRP$", "NNS", "NN", "WRB", "PRP", "VBD", "CD", "CC", "PRP", "VBD", "DT", "RB", "JJ", "NN", "IN", "DT", "JJS", "NN", "."], "qSentId": 359, "question": "What were the memories you had of them splitting up in your life, that you came to the United States with your mother, and how much do you see of your father?", "question_pos_tagged": ["WP", "VBD", "DT", "NNS", "PRP", "VBD", "IN", "PRP", "VBG", "RP", "IN", "PRP$", "NN", ",", "IN", "PRP", "VBD", "TO", "DT", "NNP", "NNPS", "IN", "PRP$", "NN", ",", "CC", "WRB", "JJ", "VBP", "PRP", "VB", "IN", "PRP$", "NN", "."], "aSentId": 360, "answer": "Well, actually, when I was -- when we're very little, my parents split when I was 1 and it was a very amicable split for the most part.", "question_ne_tagged": {"LOCATION": ["United States"]}}, {"answer_ne_tagged": {"ORGANIZATION": ["Greenstone"]}, "docId": "110924pmt", "answer_pos_tagged": ["IN", "NNP", "NNP", "NNP", "NN", ":", ",", "VBG", "."], "qSentId": 367, "question": "Where did you go?", "question_pos_tagged": ["WRB", "VBD", "PRP", "VB", "."], "aSentId": 368, "answer": "In East Greenstone (ph), darling.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNS", "."], "qSentId": 369, "question": "What?", "question_pos_tagged": ["WP", "."], "aSentId": 370, "answer": "Yes.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBD", "."], "qSentId": 374, "question": "You didn't?", "question_pos_tagged": ["PRP", "VBD", "RB", "."], "aSentId": 375, "answer": "I did.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["DT", ",", "PRP", "VBD", "WRB", "PRP", "VBD", "CD", "."], "qSentId": 377, "question": "You didn't go to the nightclub at East Greenstone, did you?", "question_pos_tagged": ["PRP", "VBD", "RB", "VB", "TO", "DT", "NN", "IN", "JJ", "NNP", ",", "VBD", "PRP", "."], "aSentId": 378, "answer": "No, I left when I was 13.", "question_ne_tagged": {"LOCATION": ["East Greenstone"]}}, {"answer_ne_tagged": {"DATE": ["Sunday"], "ORGANIZATION": ["CBS"], "TIME": ["night"]}, "docId": "110924pmt", "answer_pos_tagged": ["NNP", ",", "PRP", "VBP", "NNS", "VBP", "VBG", "TO", "VB", "RP", "RB", "RB", "NNP", "NN", "IN", "NNP", "."], "qSentId": 402, "question": "What -- what does that mean exactly?", "question_pos_tagged": ["WP", ":", "WP", "VBZ", "IN", "JJ", "RB", "."], "aSentId": 403, "answer": "Well, I think people are going to find out soon enough Sunday night on CBS.", "question_ne_tagged": {}}, {"answer_ne_tagged": {"PERSON": ["David Letterman"]}, "docId": "110924pmt", "answer_pos_tagged": ["DT", ",", "NNP", "NNP", "VBD", "VBN", "IN", "VBG", "WP", "PRP", "MD", "VB", "IN", "DT", "JJ", "NN", "CC", "PRP", "VBD", "VBG", ",", "``", "PRP$", "NN", ",", "VBP", "PRP", "VBG", "TO", "VB", "PRP$", "NN", ".", "''"], "qSentId": 406, "question": "Allegations?", "question_pos_tagged": ["NNS", "."], "aSentId": 407, "answer": "No, David Letterman was obsessed with asking what we would see in the first episode and he kept saying, \"Your butt, are we going to see your butt?\"", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBP", "RB", "VB", "RB", "."], "qSentId": 411, "question": "No butt at all?", "question_pos_tagged": ["DT", "NN", "IN", "DT", "."], "aSentId": 412, "answer": "I don't think so.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNS", ",", "PRP", "VBP", "."], "qSentId": 434, "question": "You're a Baltimore Ravens fanatic, right?", "question_pos_tagged": ["PRP", "VBP", "DT", "NNP", "NNP", "JJ", ",", "RB", "."], "aSentId": 435, "answer": "Yes, I am.", "question_ne_tagged": {"LOCATION": ["Baltimore Ravens"]}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": [":", "PRP", "VBD", ":"], "qSentId": 458, "question": "Did you see (INAUDIBLE) last night?", "question_pos_tagged": ["NNP", "PRP", "VB", ":", "NNP", ":", "JJ", "NN", "."], "aSentId": 459, "answer": "...I did...", "question_ne_tagged": {"TIME": ["last night"]}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", ":", "PRP", "VBD", "PRP", "IN", "RB", "."], "qSentId": 465, "question": "I mean, he took everybody down with it, didn't he?", "question_pos_tagged": ["PRP", "VBP", ",", "PRP", "VBD", "NN", "IN", "IN", "PRP", ",", "VBD", "RB", "PRP", "."], "aSentId": 466, "answer": "I -- I enjoyed it as well.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["UH", "PRP$", "NN", ",", "PRP", "VBP", "RB", "VBZ", "RB", "JJR", "NNS", "IN", "DT", "."], "qSentId": 468, "question": "Isn't there a drunk Tweeting danger?", "question_pos_tagged": ["VBZ", "RB", "RB", "DT", "NN", "NNP", "NN", "."], "aSentId": 469, "answer": "Oh my goodness, I think there's even worse dangers than that.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["UH", ",", "RB", "."], "qSentId": 477, "question": "...would be definitely top of the list, I think, don't you?", "question_pos_tagged": [":", "MD", "VB", "RB", "JJ", "IN", "DT", "NN", ",", "PRP", "VBP", ",", "VBP", "RB", "PRP", "."], "aSentId": 478, "answer": "Oh, absolutely.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["RB", ",", "DT", "."], "qSentId": 480, "question": "I mean, are you as pathetically unlucky in love in real life as you are on screen?", "question_pos_tagged": ["PRP", "VBP", ",", "VBP", "PRP", "IN", "RB", "JJ", "IN", "NN", "IN", "JJ", "NN", "IN", "PRP", "VBP", "IN", "NN", "."], "aSentId": 481, "answer": "Actually, no.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["DT", "JJ", "NN", "."], "qSentId": 483, "question": "Are you?", "question_pos_tagged": ["NNP", "PRP", "."], "aSentId": 484, "answer": "A beautiful girlfriend.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["WP", "VBZ", "JJ", "IN", "PRP", ",", "PRP", "VBP", "."], "qSentId": 492, "question": "It's like, what's wrong with this guy?", "question_pos_tagged": ["PRP", "VBZ", "IN", ",", "WP", "VBZ", "JJ", "IN", "DT", "NN", "."], "aSentId": 493, "answer": "What's wrong with him, I know.", "question_ne_tagged": {}}, {"answer_ne_tagged": {"PERSON": ["Will Gardner"]}, "docId": "110924pmt", "answer_pos_tagged": ["NNS", "VBP", "RB", "RBR", "IN", "PRP", "IN", "NNP", "NNP", ",", "IN", "RB", "IN", "PRP$", "JJ", "NN", ",", "VBZ", "."], "qSentId": 495, "question": "But in real life, things are a lot happier?", "question_pos_tagged": ["CC", "IN", "JJ", "NN", ",", "NNS", "VBP", "DT", "NN", "NN", "."], "aSentId": 496, "answer": "Things are much better for me than Will Gardner, as far as his emotional life, yes.", "question_ne_tagged": {}}, {"answer_ne_tagged": {"PERSON": ["Sophie"]}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", ",", "PRP", "VBP", ",", "PRP$", "NN", "NNP", "VBZ", "RB", "RB", "JJ", "IN", "PRP", ",", "PRP", "VBZ", "TO", "VB", "PRP", "."], "qSentId": 497, "question": "And is he comfortable with these steamy love scenes that they're about to unfurl on the nation?", "question_pos_tagged": ["CC", "VBZ", "PRP", "JJ", "IN", "DT", "JJ", "NN", "NNS", "WDT", "PRP", "VBP", "IN", "TO", "NN", "IN", "DT", "NN", "."], "aSentId": 498, "answer": "I, you know, my girlfriend Sophie is not only comfortable with it, she wants to see it.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["DT", ",", "PRP", "VBP", ":", "PRP", "VBD", "TO", "PRP", ",", "PRP", "VBD", ",", "PRP", "VBP", "DT", "JJ", "NN", ",", "NN", ",", "MD", "VB", "RBR", "IN", "PRP", "VBD", "CC", "PRP", "VBD", ",", "``", "NNP", ",", "PRP", "MD", "VB", "NNP", "NNS", ".", "''"], "qSentId": 500, "question": "And your husband, you've banned from watching?", "question_pos_tagged": ["CC", "PRP$", "NN", ",", "PRP", "VBP", "VBN", "IN", "VBG", "."], "aSentId": 501, "answer": "No, I've -- I said to him, I said, I think the first 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"VBZ", "VBG", "IN", "NNP", ",", "PRP", "VBD", ",", "RB", "."], "aSentId": 552, "answer": "I don't think it ...you know, our show is based on -- on a lack of monogamy.", "question_ne_tagged": {"DATE": ["Saturday"]}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["IN", "NN", "PRP", "IN", ":", "IN", ":", "IN", "NN", "CC", "VBG", "PRP$", "NN", "CC", "IN", "PRP", ":", "IN", "PRP", ":", "PRP", "VBP", "RB", "VBN", ":"], "qSentId": 555, "question": "Do you, like what?", "question_pos_tagged": ["NNP", "PRP", ",", "IN", "WP", "."], "aSentId": 556, "answer": "Like betraying them as -- as -- in friendship or betraying their trust and if we -- if we -- we are so conditioned...", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNS", ",", "CC", ":", "CC", "IN", "PRP", "VBD", "TO", "VB", "IN", "PRP", "DT", "NN", "IN", ",", "PRP", "VBP", ",", "NNP", "DT", "NN", "PRP", "VBZ", "DT", "JJ", "NN", ",", "PRP", "VBZ", "DT", "NN", "WDT", 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family, staying together.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBZ", "JJ", "IN", "PRP", "VBZ", "PRP$", "NNS", "VBP", "."], "qSentId": 565, "question": "Do you understand (INAUDIBLE) character?", "question_pos_tagged": ["NNP", "PRP", "VB", ":", "NNP", ":", "NN", "."], "aSentId": 566, "answer": "It feels good because it makes your children happy.", "question_ne_tagged": {}}, {"answer_ne_tagged": {"PERSON": ["Julianna"], "LOCATION": ["Silda"]}, "docId": "110924pmt", "answer_pos_tagged": ["NNP", ":", "NNPS", ",", "IN", "NN", ",", "PRP", "VBD", "NNP", "IN", "DT", "NNS", "WP", "VBP", "IN", "PRP$", "NNS", "RB", "IN", "VBG", "PRP", "CC", "PRP", "VBP", "DT", "JJ", "NN", ",", "IN", "NN", ",", "NNP", ",", "PRP", "VBD", "CD", "NNS", ",", "CD", "NNS", "IN", "DT", "NN", "TO", "RB", "VB", "WP", "VBD", "VBG", "IN", "."], "qSentId": 567, "question": "Do you understand why her character, then, would stand by her man?", "question_pos_tagged": ["NNP", "PRP", "VB", "WRB", "PRP", "JJR", ",", "RB", ",", "MD", "VB", "IN", "PRP$", "NN", "."], "aSentId": 568, "answer": "ARANSKI: Yes, in fact, you asked Julianna about the women who stand by their men instead of deserting them and I think a big factor, for instance, Silda, she had two daughters, two daughters of an age to really know what was going on.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["DT", ",", "RB", "IN", "DT", "."], "qSentId": 591, "question": "Do you think he's inherently an evil person?", "question_pos_tagged": ["NNP", "PRP", "VBP", "PRP", "VBZ", "RB", "DT", "JJ", "NN", "."], "aSentId": 592, "answer": "No, not at all.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNS", ",", "CC", "PRP", "VBZ", "RB", "VBD", ":", "PRP", "VBZ", "RB", "VBD", "NN", "IN", "PRP$", "NN", "."], "qSentId": 596, "question": "Wouldn't he, in the end, do anything for political gain?", "question_pos_tagged": ["MD", "RB", "PRP", ",", "IN", "DT", "NN", ",", "VBP", "NN", "IN", "JJ", "NN", "."], "aSentId": 597, "answer": "Yes, but he's still got -- he's still got chink in his armor.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNS", ",", "PRP", "VBZ", "RB", "JJ", "IN", "JJ", "DT", "RB", "JJ", "."], "qSentId": 598, "question": "Does he have a moral compass, though?", "question_pos_tagged": ["VBZ", "PRP", "VB", "DT", "JJ", "NN", ",", "IN", "."], "aSentId": 599, "answer": "Yes, it's just kind of slanted a little further.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["CC", ":", "CC", "PRP", "VBP", "TO", "VB", "DT", "JJ", "JJ", "NN", "IN", "PRP", "WDT", "VBZ", "RB", "VBG", "."], "qSentId": 601, "question": "Really?", "question_pos_tagged": ["RB", "."], "aSentId": 602, "answer": "And -- and you get to see a whole different side of him which is really exciting.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["IN", "JJ", "NN", "."], "qSentId": 603, "question": "Do you (INAUDIBLE), you have got an ex- wife?", "question_pos_tagged": ["NNP", "PRP", "VB", "NNP", "NNP", ",", "PRP", "VBP", "VBN", "DT", "JJ", "NN", "."], "aSentId": 604, "answer": "In real life.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBP", "DT", "NN", "."], "qSentId": 605, "question": "Yes, and in real life you've also recently gone through a civil partnership?", "question_pos_tagged": ["NNS", ",", "CC", "IN", "JJ", "NN", "PRP", "VBP", "RB", "RB", "VBN", "IN", "DT", "JJ", "NN", "."], "aSentId": 606, "answer": "I have a husband.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBP", "RB", "VB", ",", "RB", "PRP", "VBP", "PRP", "MD", "VB", "."], "qSentId": 609, "question": "What would you like to know, Piers?", "question_pos_tagged": ["WP", "MD", "PRP", "VB", "TO", "VB", ",", "NNP", "."], "aSentId": 610, "answer": "I don't know, whatever you think I should know.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNP", "."], "qSentId": 615, "question": "Yes, after -- after you lost, right?", "question_pos_tagged": ["NNS", ",", "IN", ":", "IN", "PRP", "VBD", ",", "RB", "."], "aSentId": 616, "answer": "OMFG.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNS", ",", "PRP", "VBP", "."], "qSentId": 622, "question": "Are you sure now that you're on the right side of the fence?", "question_pos_tagged": ["NNP", "PRP", "VBP", "RB", "IN", "PRP", "VBP", "IN", "DT", "NN", "NN", "IN", "DT", "NN", "."], "aSentId": 623, "answer": "Yes, I am.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["NNS", "."], "qSentId": 660, "question": "You actually went and saw Magnus at his home, didn't you?", "question_pos_tagged": ["PRP", "RB", "VBD", "CC", "VBD", "NNP", "IN", "PRP$", "NN", ",", "VBD", "RB", "PRP", "."], "aSentId": 661, "answer": "Yes.", "question_ne_tagged": {"PERSON": ["Magnus"]}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["DT", "JJ", "NN", "CC", "DT", "JJ", "NN", "."], "qSentId": 665, "question": "But he's a remarkable man, isn't he?", "question_pos_tagged": ["CC", "PRP", "VBZ", "DT", "JJ", "NN", ",", "VBZ", "RB", "PRP", "."], "aSentId": 666, "answer": "A remarkable man and a beautiful soul.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBP", "RB", "RB", "VB", "WP", "PRP", "VBP", "VBG", "IN", "."], "qSentId": 694, "question": "How about those Bills?", "question_pos_tagged": ["WRB", "IN", "DT", "NNS", "."], "aSentId": 695, "answer": "I don't even know what you're talking about.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["RB", "."], "qSentId": 704, "question": "Well, they have to come out of the hotel room, right?", "question_pos_tagged": ["NNP", ",", "PRP", "VBP", "TO", "VB", "RP", "IN", "DT", "NN", "NN", ",", "RB", "."], "aSentId": 705, "answer": "Exactly.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["EX", "VBZ", "DT", "NN", "IN", "NN", "."], "qSentId": 708, "question": "When do you realize they're at it?", "question_pos_tagged": ["WRB", "VBP", "PRP", "VB", "PRP", "VBP", "IN", "PRP", "."], "aSentId": 709, "answer": "There's a lot of suspicion.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBZ", "VBN", "DT", "JJ", "NN", "."], "qSentId": 717, "question": "So, are you confirming, unequivocally, that sex took place?", "question_pos_tagged": ["IN", ",", "VBP", "PRP", "VBG", ",", "RB", ",", "IN", "NN", "VBD", "NN", "."], "aSentId": 718, "answer": "She's got a new hairdo.", "question_ne_tagged": {}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["PRP", "VBZ", "RB", "VBG", "TO", "VB", "IN", "NN", "IN", "NN", "VBZ", "PRP$", "NN", ",", "RB", "PRP$", "NN", "."], "qSentId": 719, "question": "ARANSKI: Yes, I mean, I think any adult who goes to a hotel where it's $7,800 for the night, I mean, you're not going to sit there for $7,800 and just hold hands?", "question_pos_tagged": ["NNP", ":", "NNPS", ",", "PRP", "VBP", ",", "PRP", "VBP", "DT", "NN", "WP", "VBZ", "TO", "DT", "NN", "WRB", "PRP", "VBZ", "$", "CD", "IN", "DT", "NN", ",", "PRP", "VBP", ",", "PRP", "VBP", "RB", "VBG", "TO", "VB", "RB", "IN", "$", "CD", "CC", "RB", "VBP", "NNS", "."], "aSentId": 720, "answer": "He's not going to waste that kind of money is my sense, not his character.", "question_ne_tagged": {"MONEY": ["$7,800", "$7,800"]}}, {"answer_ne_tagged": {}, "docId": "110924pmt", "answer_pos_tagged": ["DT", "."], "qSentId": 733, "question": "Have you all seen the first episode?", "question_pos_tagged": ["NNP", "PRP", "DT", "VBN", "DT", "JJ", "NN", "."], "aSentId": 734, "answer": "No.", "question_ne_tagged": {}}]
[ { "title": "Como comprar uma semana?", "content": "Primeiro faça isso, depois, faça aquilo" }, { "title": "Como trocar uma semana?", "content": "Primeiro faça isso, depois, faça aquilo" }, { "title": "Como sair do aplicativo?", "content": "Primeiro faça isso, depois, faça aquilo" }, { "title": "Demais perguntas", "content": "Voce pode entrar em contato com o suporte" } ]
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{ "forum_title": "Óskast - Tölvuvörur", "id": "43575", "title": "Intel 775 Örgjörvi óskast", "url": "https://spjall.vaktin.is/viewtopic.php?f=54&t=43575", "posts": [ { "user_name": "beatmaster", "text": "Mig vantar einhvern af eftirfarandi örgjörvum:\nEndilega hafið samband með verðhugmyndum ef að þið eigið einn á lausu", "date": "2011-11-29 11:19:00", "post_id": "400284", "reply_to_id": false }, { "user_name": "beatmaster", "text": "UPP", "date": "2011-11-29 23:34:00", "post_id": "400625", "reply_to_id": "400284" }, { "user_name": "beatmaster", "text": "UPP", "date": "2011-11-30 21:19:00", "post_id": "400815", "reply_to_id": "400625" }, { "user_name": "beatmaster", "text": "UPP", "date": "2011-12-01 10:47:00", "post_id": "401018", "reply_to_id": "400815" }, { "user_name": "Benzmann", "text": "QX klikka ekki, hvað á að nota þetta í ?", "date": "2011-12-01 10:55:00", "post_id": "401023", "reply_to_id": "401018" }, { "user_name": "beatmaster", "text": "Þetta er nú bara í lítinn Media Center hjá mér sem að átti bara að vera Pentium 4 en ég komst að því eftirá að móðurborðið styður bara þá örgjörva sem að eru á þessum lista", "date": "2011-12-01 12:05:00", "post_id": "401034", "reply_to_id": "401023" }, { "user_name": "beatmaster", "text": "UPP", "date": "2011-12-02 11:37:00", "post_id": "401329", "reply_to_id": "401034" }, { "user_name": "beatmaster", "text": "UPP", "date": "2011-12-02 23:28:00", "post_id": "401533", "reply_to_id": "401329" }, { "user_name": "beatmaster", "text": "UPP", "date": "2011-12-03 11:36:00", "post_id": "401596", "reply_to_id": "401533" }, { "user_name": "haywood", "text": "á til E2160 ef þig langar... pm", "date": "2011-12-03 17:32:00", "post_id": "401653", "reply_to_id": "401596" }, { "user_name": "Flinkur", "text": "sælir ég á til allavega:\nIntel core duo E6300\nintel core duo E4400\nog svo intel QX6700", "date": "2011-12-03 18:06:00", "post_id": "401658", "reply_to_id": "401653" }, { "user_name": "beatmaster", "text": "Kominn með örgjörva", "date": "2011-12-03 20:59:00", "post_id": "401701", "reply_to_id": "401658" } ], "date": "2011-11-29 11:19:00" }
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{"poster":"Asgorah","date":"2017-07-03T13:48:24.246+0000","title":"Mates für Bronze/Silber Team gesucht","subforum":"Clans & Teams","up_votes":1,"down_votes":0,"body":"Hey meine Freunde,\r\n\r\nich bin aktuell Bronze 1 Midlaner und spiele jetzt seid fast zwei Jahren League of Legends und war dabei schon in ein paar Teams unterwegs.\r\nManche waren dabei eher Troll lastig mit Aktionen wie z.B. alle spielen Yordels (sry wenn das falsch geschrieben ist),\r\nman bannt seinem Mate den Champion weg und andere lustige oder gemeine Aktionen\r\nund andere gingen eher in die Tryhardtrichtung mit viel Ranked, Teamcomps, Teambesprechungen\r\n&uuml;ber st&auml;rken und schw&auml;chen und gemeinsamen Training um besser zu werden.\r\n\r\nIch hatte an beidem sehr viel spa&szlig; ob es nun das rumgealber oder das taktische philosophieren &uuml;ber Champs und Comps\r\nund m&ouml;chte auf keins von beiden verzichten habe aber nie ein Team gefunden wo beides vertreten ist, sowohl das Getrolle als auch das Tryharden.\r\n\r\nSo erstmal sorry an alle Lesefaulen f&uuml;r den langen Text aber ich finde so kommt am besten r&uuml;ber was ich suche.\r\n\r\nWenn es euch &auml;hnlich geht wie mir oder ihr euch denkt genau so ein Team habe ich bereits\r\ndann k&ouml;nnt ihr mir gerne antworten oder mich adden\r\n\r\nich w&uuml;nsche euch noch einen sch&ouml;nen Abend und vielleicht sieht man sich bald ingame\r\n\r\nwenn ihr noch irgendwelche Fragen habt einfach schreiben.","replies":[{"poster":"ImFirstAce","date":"2017-07-04T10:15:12.093+0000","up_votes":1,"down_votes":0,"body":"Bin auch auf der suche addet mich auch mal alle =D","replies":[]},{"poster":"soooangry","date":"2017-07-03T17:29:09.704+0000","up_votes":1,"down_votes":0,"body":"Ok , hab jetzt DeadoftheWorld und Sanlorez geaddet und dir eine Anfrage gestellt .\n\nFalls es klappt , sollten wir schauen wann es zeitlich allen am Besten passt ?","replies":[]},{"poster":"soooangry","date":"2017-07-03T14:21:14.657+0000","up_votes":1,"down_votes":0,"body":"Hallo,\n\nIch spiele auch seit ca 3 Jahren LOL , hab viel Spaß dabei ohne es allerdings zu Ernst zu nehmen. Schaffe es eigentlich Wochentags Abends 2-3 Spiele zu machen. Würde mich freuen, in einem festen TEAM spielen zu könnnen um gemeinsam besser und vor allem taktisch klüger spielen zu können.","replies":[{"poster":"Asgorah","date":"2017-07-03T14:53:32.156+0000","up_votes":1,"down_votes":0,"body":"add mich einfach mal dann sehen wir weiter ok :)","replies":[]}]},{"poster":"AI Locono1","date":"2017-07-03T14:52:59.169+0000","up_votes":1,"down_votes":0,"body":"Guten tag ich suche auch zurzeit ein Team wo ich spielen kann bin zur zeit solo b3 und flex b4 ich habe diese season nicht ernst genommen bzw weil ich kein team hatte und würde mich freuen wenn ich in ein team wäre wo ich auch mal tryharden könnte ^^\n{{champion:103}} {{champion:103}} {{champion:103}}","replies":[]},{"poster":"Born to Beemo","date":"2017-07-03T14:46:35.489+0000","up_votes":1,"down_votes":0,"body":"Hallo,\n\nbin auch auf der Suche nach nem Team. Hab hier auch schon einen Thread eröffnet \nhttps://boards.euw.leagueoflegends.com/de/c/clans-teams-de/XLWzEt39-duoq-partner-flex-team-gesuchtsilber\n\nVielleicht passen unsere Vorstellungen zusammen :)\nHab dich mal geadded","replies":[]}]}
{"title":"彡(ﾟ)(ﾟ)「昨日マックで女子高生がな…」(´・ω・`)「あっ…(察し)」","url":"http://elephant.2chblog.jp/archives/52190497.html","time":"2017-02-08 13:40:10 UTC"}
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{"poster":"protype891","date":"2017-02-11T12:30:58.343+0000","title":"smurfing in Bronze/silber suche sup","subforum":"Clans & Teams","up_votes":1,"down_votes":1,"body":"Hey bin Kai, 18 Jahre alt und smurfe gerade in Bronze bzw/ Silber :-) spiele nur adc deswegen suche ich einen Sup der ungef&auml;hr in meinem Alter ist und einfach bock auf sup hat und nicht &quot;AUTOFILL&quot; ist XD\r\n\r\nmfg Kai\r\nIGN: protype891","replies":[{"poster":"Arg3n","date":"2017-02-11T12:36:09.436+0000","up_votes":1,"down_votes":0,"body":"Anfrage ist raus {{summoner:31}}","replies":[]}]}
{"poster":"draven is coming","date":"2015-06-21T17:44:34.395+0000","title":"Gente para el evento","subforum":"Reclutamiento","up_votes":1,"down_votes":0,"body":"4 personas para jugar normal","replies":[{"poster":"Psycho Kyos","date":"2015-06-21T18:30:58.512+0000","up_votes":1,"down_votes":0,"body":"Psycho Kyos .....agreguen pls","replies":[]},{"poster":"Drèdd","date":"2015-06-21T17:52:59.410+0000","up_votes":1,"down_votes":0,"body":"yo","replies":[]},{"poster":"Zafíro","date":"2015-06-21T17:51:23.791+0000","up_votes":1,"down_votes":0,"body":"zafíro es mi nick","replies":[]},{"poster":"Mr Kevin 44","date":"2015-06-21T17:51:15.155+0000","up_votes":1,"down_votes":0,"body":"Aca también","replies":[]},{"poster":"JoseOrtega","date":"2015-06-21T17:49:21.735+0000","up_votes":1,"down_votes":0,"body":"aqui, agrega","replies":[]}]}
{ "rooms": "Pièces", "activities": "Actividades", "gallery": "Activités", "contact": "Contacts", "languages": "Les langues" }
{ "name": "polymer example components installer", "version": "0.1.1", "dependencies": { "polymer": "~0.0.20130912", "angular": "~1.2.0-rc.2" }, "ignore": [ ] }
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{"poster":"GeNua","date":"2016-06-25T12:52:48.240+0000","title":"LF Scrim 25.06 19-20 Uhr","subforum":"Clans & Teams","up_votes":1,"down_votes":0,"body":"ign unter GeNua adden, teamelo liegt bei dia4-dia3","replies":[]}
{"poster":"Kyouko in wow","date":"2016-12-24T09:02:26.841+0000","title":"Wunderschöne Weihnachtstage ~ Geschenk.<3","subforum":"Allgemeiner Chat","up_votes":4,"down_votes":4,"body":"Hall&ouml;&#039;chen, [CLOSED]\num auch ein Gedicht f&uuml;r uns Nerds zu finden, habe Ich in alten Foren &#039;gesucht&#039; und fand folgenes:\n\nVergangen ist die Graunacht,\nFreude kommt, gebt genau Acht,\nDie Champion z&auml;hlen die Stunden,\nIn denen sie werden ohne Waffen gefunden,\nDenn ihnen ist das K&auml;mpfen satt,\nund g&ouml;nnen sich Frieden statt.\n\nTeemo und Tristana als Elfen verkleidet,\nbereiten vor das Fest so gewissenhaft,\nVon den voherigen es sich unterscheidet,\nvon Geschenken gibt es massenhaft.\nAlle Champion erhoffen sich eine sch&ouml;ne Zeit,\nin der Einsamkeit ein Fremdwort bleibt.\n\nNun ja, komme Ich mal zum eigentlichen Thema! \nIch veranstalte hier ein kleines &#039;Gewinnspiel&#039; f&uuml;r Euch.\nGewinn: \n1. Platz: 20 Euro RP.\n2. Platz: 15 Euro RP.\n3. Platz: 10 Euro RP.\n\nUnd zwar habe Ich an folgenes gedacht:\nIch w&uuml;rde gerne eure weihnachtlichen Gedichte, die an LoL angelegt sind, lesen!\nIhr k&ouml;nnt eure Fantasie frei in lauf lassen.\n(Falls das ganze klappt, entscheiden die Upvotes von anderen Forenusern, wer auf welchem Platz ist)\n\nDas war&#039;s auch schon. :)\nIch w&uuml;nsche Euch allen eine wundervolle Weihnachtszeit!","replies":[{"poster":"Kaito","date":"2016-12-24T12:07:03.455+0000","up_votes":1,"down_votes":5,"body":"Nette Idee, aus meiner Sicht aber etwas undurchdacht, wenn ich teilnehmen würde, würde ich einfach die Gedichte der anderen downvoten. \n\nDu verstehst was ich meine http://los-memes.com/wp-content/uploads/2015/07/Mexican-Troll-Face-Meme.png","replies":[{"poster":"Kyouko in wow","date":"2016-12-24T12:15:12.207+0000","up_votes":1,"down_votes":2,"body":"> [{quoted}](name=AMV Kaito Kid,realm=EUW,application-id=YnZkMR0R,discussion-id=lATcdE96,comment-id=0006,timestamp=2016-12-24T12:07:03.455+0000)\n>\n> Nette Idee, aus meiner Sicht aber etwas undurchdacht, wenn ich teilnehmen würde, würde ich einfach die Gedichte der anderen downvoten. \n> \n> Du verstehst was ich meine http://los-memes.com/wp-content/uploads/2015/07/Mexican-Troll-Face-Meme.png\n\nIch verstehe was Du meinst, aber durchdacht habe Ich es bereits. Ich zähle die Downvotes als Upvotes, da man sowas hier aus keinem guten Grund downvoten könnte.","replies":[{"poster":"KabuV2","date":"2016-12-24T12:50:44.274+0000","up_votes":4,"down_votes":0,"body":"Bewerte es doch einfach selber. \nHier können Freunde helfen, und das ist schon Link.\nNimm die, die dir einfach am besten Gefallen. Ist ja dein Wettbewerb :D","replies":[]},{"poster":"Kaito","date":"2016-12-24T19:11:44.049+0000","up_votes":1,"down_votes":0,"body":"Ein Gedicht könnte aber genau so gut 6 Upvotes haben und 9 Downvotes, somit wäre es auf -1, es könnte aber auch einfach 2 Downvotes haben und es wäre damit ebenfalls auf -1 und du wirst keinen Unterschied bemerken.","replies":[]}]}]},{"poster":"maidgirl","date":"2017-01-01T18:40:51.911+0000","up_votes":3,"down_votes":0,"body":"hast du mir nicht versprochen dir rp zu geben?? du hast mich gelöscht o.ö","replies":[{"poster":"Alekra","date":"2017-01-01T21:59:35.920+0000","up_votes":3,"down_votes":0,"body":"mich auch x) tja war anscheinend ne lüge\n\nwar ja auch zu schön um wahr zu sein ._.","replies":[]}]},{"poster":"KabuV2","date":"2016-12-30T22:16:27.483+0000","up_votes":1,"down_votes":0,"body":"Wann wird aufgelöst?","replies":[]},{"poster":"Noctibert","date":"2016-12-24T20:02:07.435+0000","up_votes":1,"down_votes":0,"body":"Gragas ist voll, seine Itemslots nicht.\nEnde des Weihnachtsgedicht.","replies":[{"poster":"Alekra","date":"2016-12-24T20:05:09.338+0000","up_votes":1,"down_votes":0,"body":".-. ","replies":[]}]},{"poster":"Avor Ashkeno","date":"2016-12-24T16:23:52.103+0000","up_votes":1,"down_votes":0,"body":"Frohe Weihnachten","replies":[{"poster":"Alekra","date":"2016-12-24T17:11:05.590+0000","up_votes":1,"down_votes":0,"body":"Dir auch :)","replies":[]}]},{"poster":"DarkRaín","date":"2016-12-24T13:02:50.010+0000","up_votes":1,"down_votes":1,"body":"Also die downvotes will ich auch nicht ganz verstehen. Nun ja war wohl klar das sowas bei einem Gewinnspiel passiert. Hat trotzdem Spaß gemacht das Gedicht zu schreiben. ^-^","replies":[{"poster":"Kyouko in wow","date":"2016-12-24T13:09:00.160+0000","up_votes":1,"down_votes":1,"body":"> [{quoted}](name=DarkRaín,realm=EUW,application-id=YnZkMR0R,discussion-id=lATcdE96,comment-id=0008,timestamp=2016-12-24T13:02:50.010+0000)\n>\n> Also die downvotes will ich auch nicht ganz verstehen. Nun ja war wohl klar das sowas bei einem Gewinnspiel passiert. Hat trotzdem Spaß gemacht das Gedicht zu schreiben. ^-^\n\nIch find' die Gedichte sind echt super, nur beim selber bewerten gibt es manchmal das Problem: ,,Er zieht den und den vor'' -\nIch habe versucht das die 'Community' selber entscheidet.","replies":[{"poster":"Alekra","date":"2016-12-24T14:02:15.825+0000","up_votes":1,"down_votes":0,"body":"Die Community kann nicht entscheiden. Jeder hat min. 1-2 downvotes nur damit man selbst besser dasteht. Nimm doch die, die dir am besten gefallen. Du kannst ja sogar so was wie halfinale oderfinale machen ^^ aber so kann jeder ein paar freunde fragen ob diese nicht upvoten können. Du kanst auch einen unparteiischen dazuholen (Freund/Elternteil).","replies":[]}]}]},{"poster":"Send Νudes","date":"2016-12-24T13:11:40.359+0000","up_votes":1,"down_votes":0,"body":"***","replies":[{"poster":"Alekra","date":"2016-12-24T14:04:16.802+0000","up_votes":1,"down_votes":1,"body":"Per zufall finde ich es nicht wirklich gut, da es ja darum geht welches dem TE am besten gefällt. Da kann ja jeder ein 4 zeilengedicht hinklatschen.","replies":[]}]},{"poster":"Alekra","date":"2016-12-24T19:35:19.340+0000","up_votes":1,"down_votes":1,"body":"Wann wird/Werden denn der/die Gewinner bekanntgegeben? ^^","replies":[]},{"poster":"maidgirl","date":"2016-12-24T16:40:40.778+0000","up_votes":3,"down_votes":3,"body":"Gragas kam aus der Kluft und konnte\nkaum steh'n.\nAuf einen Kampf braucht ihr nicht zu hoffen, er hat sich die Rübe\nvoll gesoffen.\nEs wankte von da nach hier und hatte den Arsch voll\nShizo-Bier.\nGestern hab ich ihn wieder getroffen,und stellt Euch nur vor,\nes war schon wieder besoffen.\nIch blieb gleich stehen und sprach ihn\nan: Gragas , wo ist der Weihnachtsmann?\nDer Gragas sprach : Auf\nden brauchst du nicht zu hoffen, der liegt im Jungle und ist\nbesoffen.\nGemeinsam gingen wir zum Weihnachtsmann, mit glasigen Augen\nsah er uns an.\nEr lallte: Tag lieber Bruder, Tag liebe Schwester,leckt's\nmich am Arsch, bald ist Silvester!?\n\nhappy xman","replies":[{"poster":"maidgirl","date":"2016-12-24T17:32:00.387+0000","up_votes":2,"down_votes":2,"body":"In league of Legends die Weihnachtslieder klingen, wir nicht aufhören können sie zu singen.\nDer Schneemannkopf bekommt auf die Mütze, er ist noch lange keine Schneepfütze!^^\nKerzen überall in der Kluft verteilt, die Champions kommen zur Hilfe hergeeilt.\nCamille ist seit neustem mit dabei, kommt alle mit zur Schlägerei!\nDie Stimmung ist heiter bis munter,ganz LoL wirkt direkt viel bunter.\nAuch wenn alles von Schnee bedeckt,LoL sieht aus wie geleckt.\nJeder soll sich hier wohlfühlen, könnt ruhig im Schnee herumwühlen!\nKekse werden auch gemacht, hin und wieder mal gelacht.\n\nIm großen und ganzen läuft alles gut, manchmal verspürt man trotzdem Wut.\nDoch unternimmt man etwas mit Familie und Freunden,\nwird der Sternenhimmel direkt heller leuchten.\nDrum feiert schön und habt Spaß, erhebt das Glas,\nauf eine schöne Weihnachtszeit, voller Fröhlichkeit! mir war langweilig...","replies":[{"poster":"maidgirl","date":"2016-12-24T19:14:48.827+0000","up_votes":2,"down_votes":2,"body":"League of Legends ist ganz verschneit, es bekommt wieder sein wunderschönes Winterkleid,\nda weiß jeder sofort Bescheid, es ist soweit für die besinnliche Jahreszeit.\nDoch der Große Schneemann will uns das Fest versauen,lasst ihn uns dafür verhauen.\nTeemo,Tristana,Rumble und alle LoL Bewohner kommen zur Hilfe geeilt,\nso bekommen wir den Großen Schneemann zerteilt.\nEs ist uns gelungen,wir haben ihn mit vereinten Kräften bezwungen\nund einen grandiosen Sieg errungen.\nAlle aßen Kekse und tranken Tee, der Schneemann tat niemanden mehr weh.\nDas Fest ist gerettet zum Dank hat uns der Weihnachtsmann einen Besuch\nabgestattet.\nGragas trinkt aus dem Bierfass, alle LoL Bewohner werden für ihren Heldenmut besungen.\nNun feiern wir ein besinnliches Fest mit dem ganzen Rest von LoL.\nWir feiern und wir lachen, dank dem Weihnachtsmann können wir auch\nGeschenke aufmachen. ok das wars mehr ist mir nicht eingefallen. Die wo gewonnen haben Glückwunsch und toller Verlosung ^^","replies":[]}]}]},{"poster":"Alekra","date":"2016-12-24T12:15:43.222+0000","up_votes":3,"down_votes":3,"body":"Was les ich da? Ein Kommentar?\nÜber Weihnachten? Wie wunderbar!\nEin Gedicht soll ich schreiben? Das mach ich doch glatt.\nDamit der TE was zu lesen hat :3\n\nZieh dich warm an! Auch in der Kluft ist es kalt.\nWeiß ist der Boden, weiß ist der Wald.\nSchnee gabs schon lange nicht mehr in der Kluft.\nUmso mehr Freude liegt in der Luft.\nSchluss mit dem Krieg. Frieden kehrt ein.\nLasst uns mal alle Freunde statt Feinde sein.\nSogar Braum lässt heute sein Schild zuhaus.\nMuss er doch heute noch mit dem Schlitten raus.\nDoch allein ist er nicht. Er hat Freunde mit Fell.\nGanz recht. Es sind Poros. Sie ziehen ihn schnell.\nDas muss Braum auch sein. Es bleibt nicht viel Zeit.\nBis zum Fest von Freude und Glücksseligkeit.\n\nEs kommt nun zum Ende. Doch das war ja klar.\nIch wüsch euch frohe Weihnacht und ein frohes neues Jahr.\n\n\n:3","replies":[]},{"poster":"2D Loli","date":"2016-12-24T11:31:53.960+0000","up_votes":5,"down_votes":5,"body":"Braum Songtext von 2/5/7 Riven Main\n\nIch und mein Braum\nIch und mein Braum\nOk der Song beginnt, und er bekommt ein Thema\nIch und mein Braum\nUnd das Thema heute, es heißt Xmas-League\nIch und mein, ich und mein Braum\nBraum sieht sehr schön aus, Braum ist vielseitig\nIch und mein Braum\nDu kannst ihn igniten, du kannst ihn taunten\nIch und mein, ich und mein Braum\nJa, wenn du ihn verbrennst, dann spendet er Wärem \nIch und mein, ich und mein Braum\nAber wenn du ihn healst, dann nicht, oh\nUnd jetzt mal alle in this Rift, yo\n\nIch und mein Braum, ich und mein Braum (Braumi, Braumi, Braum)\nIch und mein Braum, ich und mein Braum\nIch und mein, ich und mein Braum, mein Braum\nIch und mein Braum, ich und mein Braum (Braumi, Braumi, Braum)\nIch und mein Braum, ich und mein Braum\nIch und mein, ich und mein Braum, mein Braum\n\n\n~Zeit für einen weiteren, winterlichen Kampf in der Kluft der Beschwörer...\n~ATTEMPTING TO RECONNECT\n~Happy End <3\n\nFrohe Weihnachtszeit !","replies":[]},{"poster":"KabuV2","date":"2016-12-24T12:01:11.281+0000","up_votes":2,"down_votes":3,"body":"Irgendwas zu hinzufügen:\nDass man die Gedichte nach Upvotes wertet, ist sinnlos.\nEs gibt viele Typen, die einfach nicht fair sind und die Beiträge von anderen eiskalt Upvoten, um nur besser da zu stehen.\nVondaher wäre es besser, wenn du die Beiträge selber bewertest. Es ist einfach nur lächerlich.\nEben hatten noch DarkRain und ich 2 Upvotes, jetzt aufeinmal sind es 0, nachdem mehrere Schreiber gekommen sind.\n^^\n","replies":[{"poster":"Kyouko in wow","date":"2016-12-24T12:16:07.639+0000","up_votes":1,"down_votes":2,"body":"> [{quoted}](name=KabuV2,realm=EUW,application-id=YnZkMR0R,discussion-id=lATcdE96,comment-id=0005,timestamp=2016-12-24T12:01:11.281+0000)\n>\n> Irgendwas zu hinzufügen:\n> Dass man die Gedichte nach Upvotes wertet, ist sinnlos.\n> Es gibt viele Typen, die einfach nicht fair sind und die Beiträge von anderen eiskalt Upvoten, um nur besser da zu stehen.\n> Vondaher wäre es besser, wenn du die Beiträge selber bewertest. Es ist einfach nur lächerlich.\n> Eben hatten noch DarkRain und ich 2 Upvotes, jetzt aufeinmal sind es 0, nachdem mehrere Schreiber gekommen sind.\n> ^^\n\nIch resette alle 5 min. bis 20 Uhr diesen Post, und sehe wer wie viele Upvotes hatte.","replies":[]}]},{"poster":"DarkRaín","date":"2016-12-24T09:51:58.123+0000","up_votes":3,"down_votes":5,"body":"Denkt Euch, ich habe Teemo gesehen,\nich hab ihn überfahren, es war KEIN Versehen.\nIch hatte gerade die Äuglein zu,\nich träumte beim Fahren in himmlischer Ruh.\n\nDer Teufel hat in dieser heiligen Nacht\nBekanntschaft mit meinem Kühler gemacht.\nSpäter sah ich auch noch Braum den Weihnachtsmann,\ner feuerte grad' seine Renntiere an.\n\nIch überholte den langsamen Wicht,\ndoch sah ich den Gegenverkehr dabei nicht.\nIch wich noch aus, doch leider nicht Santa,\nein kurzes Rumsen und er klebte am Manta.\n\nDenn als ich zuhause war, da musste ich heulen,\nmeine schöne Elo, die ist gesunken,\nvom Teemo, und von Braum Klaus,\nja, dieses Jahr fällt Weihnachten dann wohl aus!","replies":[]},{"poster":"KabuV2","date":"2016-12-24T10:53:37.697+0000","up_votes":4,"down_votes":6,"body":"Ahri, die Fuchsfrau ist gefährlich,\nverliebst du dich einmal in sie wird es ernstlich,\nEs ist Winter - man ist draußen im schneebedeckten Wald,\nund sieht du Ahri, dann bist du bald kalt!\nDie wunderschöne Frau mag es andere Männer zu verführen,\naber nur um ihre Seelen anzurühren!\n\nHört man ein schönes Lachen, dann heißt es RENN WEG!\nDenn sonst ist dein Leben weg!\nHast du dich verliebt, dann heißt es der Tod!\n\nEines Tages die Schneehäschen Nidalee ging als Katze in den Wald,\nund sah dann Ahri, aber ihr wurde es nicht kalt!\nNidalee bekämpfte das Viech, eiskalt!\n\nEs war der 24te Dezember, \nWeihnachten, überall! \nund schöne Melodien hat man gehört, überall! \nDie Menschen aus Ionia trauten sich wieder in den Wald zu gehen \nund man konnte sich schön umsehen!\n\nDas wars, \nund glaub mir, ich erzähle keine Lügen!\nDenn auf der Kluft wirst du es büßten!\nFrohe Weihnachtszeit ! {{summoner:31}} {{summoner:30}}","replies":[]}]}
{"title":"【モバマス】桃華「抱きしめてキスしたい」","url":"http://elephant.2chblog.jp/archives/52198408.html","time":"2017-05-06 10:40:26 UTC"}
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{"poster":"wildteen17","date":"2019-08-18T18:37:42.759+0000","title":"First time bug in leauge history","subforum":"Report a Bug","up_votes":4,"down_votes":0,"body":"Ok on my other acc the game was going normal then the server started lagging and my team and the enemy also verifed the lag, i got DC'd then and i couldn't reconnect. I could re que and i got into a lobby but how the fk if i am still in game, the guys are 4v5 and i cant rejoin but i can re que. Riot fix your stupied sht, those guys are 4v5 because you fked us.","replies":[{"poster":"Synu","date":"2019-08-19T21:46:22.227+0000","up_votes":2,"down_votes":0,"body":"Same here man, this patch is laggin me. Ever since this 9.16 patch was updated it became laggy and freezing to me","replies":[]},{"poster":"JohnCook","date":"2019-08-20T21:09:59.281+0000","up_votes":1,"down_votes":0,"body":"same","replies":[]}]}
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{ "directions": [ "Saut\u00e9 boned breasts in butter until just cooked through and tender, turning them to color both sides. White meat of chicken is very delicate and will cook quickly. Remove chicken to a deep, flameproof serving dish, or chafing dish. Add a little more butter to pan in which chicken was cooked and saut\u00e9 shallots until just limp. Season with salt, pepper, ground cloves, and ginger. Stir in heavy cream mixed with egg yolks. Stir and cook very slowly over low heat until mixture coats the spoon. Do not overcook or the eggs will curdle. Taste for seasoning. Pour warmed cognac over chicken and ignite. While blazing, pour the sauce over the chicken. Serve with crisp shoestring potatoes and broiled mushrooms. With this, drink Chassagne Montrachet." ], "ingredients": [ "6 chicken breasts, boned", "Butter", "3 tablespoons finely chopped shallot or small white onions", "Salt, pepper", "Pinch each: ground cloves, ground ginger", "1 1/2 cups heavy cream", "4 egg yolks", "1/3 cup cognac, warmed" ], "language": "en-US", "source": "www.epicurious.com", "tags": [ "Chicken", "Dairy", "Poultry", "Saut\u00e9", "Cognac/Armagnac", "Winter", "House & Garden" ], "title": "Chicken Flamb\u00e9", "url": "http://www.epicurious.com/recipes/food/views/chicken-flambe-101495" }
{"poster":"FUBAR Reaper","date":"2017-11-05T21:50:03.136+0000","title":"Tyler1 Vs C9 Jensen","subforum":"General Discussion","up_votes":1,"down_votes":13,"body":"K I have been wanting to post this for so fucking long as soon as I saw the Infamous League Players video. Tyler1 is just a toxic man on stream and in game chat but that doesn&#039;t affect the person on the other end. Jensen has been caught fucking DDosing people and he is allowed to play competitively and it &quot;Seems&quot; that Riot was just bias at the time. Of course they aren&#039;t now as Tyler is supposedly being unbanned. I was actually given a perma ban for telling someone to KYS and actually have a post up on it. If riot could treat everyone equally and not suck all the famous league players that would lead to a better community and getting rid of people who troll and are toxic and etc.... \r\n\r\nRito help{{item:3070}}","replies":[]}
{"ModuleCode":"FMA1206H","ModuleTitle":"FS: Travel and the Historian","Department":"History","ModuleDescription":"The aim of this Freshman Seminar is to introduce students to the use of travel narratives as sources for historians. Students will be engage with different forms of travel and their productions to explore such themes as exploration, gender, race and culture. Working individually and in groups, students will have an opportunity to hone their research, writing and oral presentation skills.","ModuleCredit":"4","Workload":"0-3-0-0-7","Preclusion":"Other Freshman Seminar modules","Types":["Module"],"History":[{"Semester":1,"LecturePeriods":["Monday Morning"]}]}
{"title":"MikesApartment - Sicilia (Incredible sicilia)","uid":12406111,"size":518587084,"categoryP":"porn","categoryS":"movie_clips","magnet":"?xt=urn:btih:aef9117b48f213a4ef282218b5add46f0176fee6&amp;dn=MikesApartment+-+Sicilia+%28Incredible+sicilia%29&amp;tr=udp%3A%2F%2Ftracker.openbittorrent.com%3A80&amp;tr=udp%3A%2F%2Fopen.demonii.com%3A1337&amp;tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&amp;tr=udp%3A%2F%2Fexodus.desync.com%3A6969","seeders":1,"leechers":0,"uploader":"9jntm","files":1,"time":1442095078,"description":"MikesApartment - Sicilia (Incredible sicilia)\n &lt;a href=&quot;\nhttp://imagewow.eu/img-55f45994dd4b3.html&quot; rel=&quot;nofollow&quot; target=&quot;_NEW&quot;&gt;\nhttp://imagewow.eu/img-55f45994dd4b3.html&lt;/a&gt;\n &lt;a href=&quot;\nhttp://imagewow.eu/img-55f45994e8325.html&quot; rel=&quot;nofollow&quot; target=&quot;_NEW&quot;&gt;\nhttp://imagewow.eu/img-55f45994e8325.html&lt;/a&gt;\n\nWe had a real hot blonde babe come stay at the apartment this week. Her name was Sicilia, and she wanted to stay for a few days while she went out to meet with friends to party and go shopping. Sicilia didn't have much money to pay for the place, so we proposed that she put on a little striptease show for us. She was shy at first but then warmed up and started showing off her sexy petite body. Sicilia even started playing with her pussy and getting really wet. That's when we asked her if she wanted to stay rent-free and really put on a show. Sicilia was all about it and let George dive right in to eat her soaked pussy. She then went right to sucking him off and giving some awesome head. You can't miss this hottie going off on his cock while she moaned in ecstasy and begged for a fat nut. She got the full welcoming to Mikes Apartment!","torrent":{"xt":"urn:btih:aef9117b48f213a4ef282218b5add46f0176fee6","amp;dn":"MikesApartment+-+Sicilia+%28Incredible+sicilia%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":"aef9117b48f213a4ef282218b5add46f0176fee6","infoHashBuffer":{"type":"Buffer","data":[174,249,17,123,72,242,19,164,239,40,34,24,181,173,212,111,1,118,254,230]},"announce":[],"urlList":[]}}
{"poster":"genty21","date":"2015-02-25T16:19:06.145+0000","title":"Noooooo, perchè riot ????? D:","subforum":"Campioni e gameplay","up_votes":1,"down_votes":2,"body":"Mi avete cambiato l'immagine della mia main {{champion:55}} era così bella ;( Mi avete rovinato la vita ;( \nNo adesso parlando seriamente, non discuto il fatto che lo staff ci abbia lavorato tantissimo su questo disegno come d'altronde ciascuno ma a mia opinione personale NON è carina ora D: Spero possiate fare qualcosa cuz i love her ^^ Kattie :3 {{champion:55}} {{champion:55}} {{champion:55}} ","replies":[{"poster":"Firenheit","date":"2015-02-25T20:24:44.998+0000","up_votes":2,"down_votes":0,"body":"Ma quanti main Kata, Zed, Fizz, Gesù, esistono?\nSolo io maino Jinx-Thresh-Morgana? \nNe maino tre? \nQuesto perché sono scarso.","replies":[{"poster":"Ucr0niA","date":"2015-02-25T21:25:14.696+0000","up_votes":1,"down_votes":0,"body":"Ti capisco a pieno, da support.\n\nQuanto vedo tutti questi che mainano solitamente Kata, Zed, Fizz penso che siano le stesse persone che negli FPS giocano inevitabilmente il cecchino, non so perchè.","replies":[{"poster":"Firenheit","date":"2015-02-25T21:27:38.227+0000","up_votes":1,"down_votes":0,"body":"Ei, quickscope!\nanzi 360noscope!","replies":[{"poster":"Ucr0niA","date":"2015-02-25T21:36:06.264+0000","up_votes":1,"down_votes":0,"body":"Ci siamo capiti al volo.","replies":[{"poster":"Firenheit","date":"2015-02-25T21:37:35.816+0000","up_votes":1,"down_votes":0,"body":"Famas-ACR-SCAR-H.","replies":[{"poster":"Ucr0niA","date":"2015-02-25T21:51:04.264+0000","up_votes":3,"down_votes":0,"body":"Ottimo;\nTi dirò, in molti della serie di Cod almeno, lo Scar-H era la versione alternativa o/e depotenziata dell'ACR, in MW3 l'ACR 6.8 non aveva paragoni, o stavi usando quella, o c'era qualcosa che non andava.\nIn B.O. a me piacevano le armi a bust, ottimo lo SWAT in BO2 (poi se ne sono accorti e l'han nerfato a bestia), accettabile l'MSBS in Ghost (come d'altronde il gioco stesso)\nIl Famas era un cult nei Battlefield, ma in fin dei conti, è una signora anche in *Rial laif*","replies":[{"poster":"Firenheit","date":"2015-02-25T21:54:54.303+0000","up_votes":1,"down_votes":0,"body":"Ghost l'ho ignorato.","replies":[]}]}]}]}]},{"poster":"genty21","date":"2015-02-26T14:24:52.550+0000","up_votes":1,"down_votes":0,"body":"Omg ahahah è vero... ma non sono il tipo da quickscope o 360 mi piace giocare in quelli strategici (con balistica sul proiettile) a difendere i miei compagni di squadra xD comunque mi piace Kattie ^^ sia perchè sono abbastanza bravo con lei (devo ancora imparare molto, perchè non si contano i pentakill che si fanno ma il gioco di squadra ) e sia perchè e stata la mia prima champ :3 Ma per favore non mi comparare con quelli che la usano solo perchè la gente dice che è op... -.- a me piace punto Kattie ^^ p.s: non metto più l'icona non mi piace più D:","replies":[]}]}]},{"poster":"A Yordle ln Heat","date":"2015-02-25T16:26:08.944+0000","up_votes":2,"down_votes":1,"body":"Nessuno ha da dire nulla sulla nuova Tristana e tutti si lamentano della nuova Katarina.\nDevo avere dei gusti *PARTICOLARMENTE* discutibili.","replies":[{"poster":"genty21","date":"2015-02-26T14:26:38.347+0000","up_votes":1,"down_votes":0,"body":"Guarda non è che non m'interessi degli altri champion... capiscimi amo Kattie xD\n\nPoi guarda prendi d'esempio la nuova skin di sona si è bella ma non ne vado a commentare in giro appunto perchè mi piace, De gustibus :D p.s: è latino\n","replies":[]}]},{"poster":"Nibbio Bianco","date":"2015-02-25T16:40:19.091+0000","up_votes":1,"down_votes":1,"body":"SHUT THE FAN CAP, sono entrambi belle splash art.","replies":[]}]}
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{ "name": "ssmutil", "version": "0.2.0", "description": "a simple state management library", "scripts": { "clean": "rimraf lib dist es coverage types", "test": "jest", "test:watch": "yarn test -- --watch", "test:cov": "yarn test -- --coverage", "check-types": "tsc --noEmit", "build": "rollup -c" }, "repository": { "type": "git", "url": "git+https://github.com/secret344/simple-state-management.git" }, "author": "secret344 (https://github.com/secret344)", "main": "lib/ssmutil.js", "module": "es/ssmutil.js", "types": "types/index.d.ts", "unpkg": "dist/ssmutil.js", "license": "MIT", "files": [ "dist", "lib", "es", "src", "types" ], "bugs": { "url": "https://github.com/secret344/simple-state-management/issues" }, "keywords": [ "reducer", "state", "predictable", "functional", "immutable", "hot", "live", "replay", "flux" ], "homepage": "https://github.com/secret344/simple-state-management#readme", "dependencies": {}, "devDependencies": { "@babel/core": "^7.13.16", "@babel/preset-env": "^7.13.15", "@babel/preset-typescript": "^7.13.0", "@rollup/plugin-babel": "^5.3.0", "@rollup/plugin-node-resolve": "^11.2.1", "@rollup/plugin-replace": "^2.4.2", "@types/jest": "^26.0.22", "@types/node": "^14.14.41", "babel-jest": "^26.6.3", "jest": "^26.6.3", "rollup": "^2.45.2", "rollup-plugin-terser": "^7.0.2", "rollup-plugin-typescript2": "^0.30.0", "ts-jest": "^26.5.5", "typescript": "^4.2.4" } }
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{"poster":"Observer","date":"2015-05-31T12:37:39.371+0000","title":"Servers down?","subforum":"Help & Support (OCE)","up_votes":1,"down_votes":0,"body":"Just started rank 5&#039;s game, and DC&#039;d after 1 minute 30 (attempting to reconnect).\r\n\r\nAnyone else?","replies":[{"poster":"Observer","date":"2015-05-31T12:44:07.151+0000","up_votes":2,"down_votes":0,"body":"Ok, the match I was in just cancelled...\n\nserver screw up? for drophax? *insert conspiracy music here*","replies":[]},{"poster":"HORSE OF FORCE","date":"2015-06-01T04:34:32.154+0000","up_votes":1,"down_votes":0,"body":"Spooky.\n\nThis happened only once, yeah?","replies":[]},{"poster":"iLykPandaahs","date":"2015-05-31T12:42:35.165+0000","up_votes":1,"down_votes":0,"body":"na in norms we all got dcd","replies":[]},{"poster":"Observer","date":"2015-05-31T12:42:01.475+0000","up_votes":1,"down_votes":0,"body":"I asked around and someone playing norms is fine...\n\nMight just be a ranked 5's thing..","replies":[]},{"poster":"Arka","date":"2015-05-31T12:40:42.912+0000","up_votes":1,"down_votes":0,"body":"Same here ranked 5 game and we all got dcd.","replies":[]}]}
{"poster":"TheSushian","date":"2016-03-28T11:08:05.165+0000","title":"[GAMEPLAY] Ekko's Q plays no sound on return","subforum":"Report a Bug","up_votes":1,"down_votes":0,"body":"Just as the title says, Ekko has a sound bug where his q isn&#039;t playing a sound when it goes on a return. It&#039;s very annoying, because visual timing in a teamfight with ekko is a clusterf**k if you can&#039;t see half of your spells on grouped champs.\r\n\r\nSimple way to reproduce is to just q with ekko, and note that when it returns through any enemy, it plays no hit sound. Very annoying.","replies":[{"poster":"moonstones","date":"2016-03-28T17:43:47.570+0000","up_votes":1,"down_votes":0,"body":"Hey TheSushian! \n\nThanks for the report! We're aware of the issue and are working on a fix. ^-^","replies":[]}]}
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{"title": "Want to make Lankan Premier League exciting \u2013 Arnold", "content": ["Former Test cricketer Russel Arnold, who was last week appointed as the Director of Lankan Premier League tournament is confident of making the event a success. Sri Lanka is the only leading cricket playing nation in the Asian region not to have a franchise based tournament as India (IPL), Pakistan (PSL) and Bangladesh (BPL) have highly successful domestic T-20 competitions of their own. SLC had launched Sri Lanka Premier League in 2011 but the tournament crashed a year later due to lack of sponsorship."], "link": "https://www.onlanka.com/news/want-to-make-lankan-premier-league-exciting-arnold.html", "date_published": "April 10, 2018", "category": "Sports News"}
{"notes": [{"tddate": null, "ddate": null, "tmdate": 1512844109805, "tcdate": 1512844109805, "number": 12, "cdate": 1512844109805, "id": "rJULiitbz", "invitation": "ICLR.cc/2017/conference/-/paper163/public/comment", "forum": "SJUdkecgx", "replyto": "SJUdkecgx", "signatures": ["~Madhura_Gandhi1"], "readers": ["everyone"], "writers": ["~Madhura_Gandhi1"], "nonreaders": [""], "content": {"title": "Question for author: Time Limit in Reinforcement Learning ", "comment": "We are students of University of Michigan registered for the ICLR Reproducibility Challenge 2018. As a part of that, we are trying to replicate the results stated in the paper 'Time Limits in Reinforcement Learning'. The authors have mentioned that the code would be made publicly available on https://sites.google.com/view/time-limits-in-rl . However, the code is not up yet. Would it be possible to get access to the code? That would greatly help us verifying our implementation of the algorithms. 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The contribution is rather incremental, and the results are at the level of the prior art in deep metric learning, so in its current form the paper is not ready to be accepted."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "", "abstract": " ", "pdf": "/pdf/e4c133068cf851617ae25510b7a65f93df9c31e5.pdf", "TL;DR": "We propose: ", "conflicts": [""], "authors": [""], "authorids": [""], "keywords": []}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1486396403451, "id": "ICLR.cc/2017/conference/-/paper163/acceptance", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2017/pcs"], "noninvitees": ["ICLR.cc/2017/pcs"], "reply": {"forum": "SJUdkecgx", "replyto": "SJUdkecgx", "writers": {"values-regex": "ICLR.cc/2017/pcs"}, "signatures": {"values-regex": "ICLR.cc/2017/pcs", "description": "Your displayed identity associated with the above content."}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"order": 1, "description": "Brief summary of your decision.", "value": "ICLR committee final decision"}, "comment": {"required": true, "order": 2, "description": "Decision comments.", "value-regex": "[\\S\\s]{1,5000}"}, "decision": {"required": true, "order": 3, "value-radio": ["Accept (Oral)", "Accept (Poster)", "Reject", "Invite to Workshop Track"]}}}, "nonreaders": [], "cdate": 1486396403451}}}, {"tddate": null, "tmdate": 1484919717722, "tcdate": 1484919717722, "number": 2, "id": "SkCj75JPx", "invitation": "ICLR.cc/2017/conference/-/paper163/official/comment", "forum": "SJUdkecgx", "replyto": "rJftYFcGe", "signatures": ["ICLR.cc/2017/conference/paper163/AnonReviewer1"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper163/AnonReviewer1"], "content": {"title": "comment on author response", "comment": "Dear Authors, \nthank you for your responses and updates on the paper. \nThe modifications on the first experiment are useful, so that comparisons can be made using the same underlying features.\nThe second part of the paper, integration of metric learning in deep net, is still not quite convincing to me. The main problem is that the method is disconnected from the first, since a different cost function is used (12), and that the contribution of this paper wrt directly optimizing (12) is an over parametrization as compared to simply integrating the metric in the fully connected layers of the deep net. The observed improvement here is interesting, but not well understood and analyzed in my opinion. \nMy recommendation remains negative for acceptance of this paper. "}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "", "abstract": " ", "pdf": "/pdf/e4c133068cf851617ae25510b7a65f93df9c31e5.pdf", "TL;DR": "We propose: ", "conflicts": [""], "authors": [""], "authorids": [""], "keywords": []}, "tags": [], "invitation": {"rdate": null, "duedate": null, "tddate": null, "ddate": null, "tmdate": 1485287705084, "id": "ICLR.cc/2017/conference/-/paper163/official/comment", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "reply": {"forum": "SJUdkecgx", "writers": {"values-regex": "ICLR.cc/2017/conference/paper163/(AnonReviewer|areachair)[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper163/(AnonReviewer|areachair)[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.", "value-dropdown": ["everyone", "ICLR.cc/2017/conference/organizers", "ICLR.cc/2017/conference/ACs_and_organizers", "ICLR.cc/2017/conference/reviewers_and_ACS_and_organizers"]}, "content": {"title": {"order": 1, "description": "Brief summary of your comment.", "value-regex": ".{1,500}"}, "comment": {"order": 2, "description": "Your comment or reply.", "value-regex": "[\\S\\s]{1,20000}"}}}, "nonreaders": [], "noninvitees": [], "invitees": ["ICLR.cc/2017/conference/paper163/reviewers", "ICLR.cc/2017/conference/paper163/areachairs"], "cdate": 1485287705084}}}, {"tddate": null, "tmdate": 1481921085929, "tcdate": 1481920872520, "number": 3, "id": "rkg_ZA-Ng", "invitation": "ICLR.cc/2017/conference/-/paper163/official/review", "forum": "SJUdkecgx", "replyto": "SJUdkecgx", "signatures": ["ICLR.cc/2017/conference/paper163/AnonReviewer1"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper163/AnonReviewer1"], "content": {"title": "Low-rank Mahalanobis metric learning with the KISMME objective function", "rating": "4: Ok but not good enough - rejection", "review": "This paper presents extensions of the KISSME metric learning method.\nFirst, a subspace learning component is integrated, which avoids the need of ad-hoc pre-processing in the case of high-dimensional data.\nSecond, the approach is integrated with a CNN model that derives the features from an input image before it is entered into the Mahalanobis distance computation.\n\nThe related work section would benefit from a disucssion of previous work that also learns low-rank Mahalanobis metrics, such as e.g. [A]. One might argue that the referenced work, and similar ones, solves a non-convex objective and is therefore of less interest. This argument, however, seems weak at the moment that CNN training is integrated, since this also involves hihgly non-convex optimisation, yet leads to excellent results. A discussion on this point would be useful to include in the paper.\n\nIn the first experiment, the authors compare to related metric learning work. They conclude that the proposed approach is superior, but this seems unjustified as the CNNs used to generate the features by the authors is different from the one used in related work. Thus it seems to me that no conclusions on the quality of the metric learning approach can be drawn from these experiments.\n\nIn the second experiment the authors show that a baseline where a factorisation of the PSD matrix M is absorbed in the low-rank projection matrix W leads to worse results than the proposed over-parametrised method. It would be useful if the authors could provide an analysis of why this might be the case; the current text does not seem to provide an explanation or hyposthesis. Is the same cost function used by the proposed method and the pairwise and triplet baseline ?\n\nI found the title of the paper slightly misleading, as the contribution of the paper is not to provide an extension to deep feature training: this has been done extensively in the past. In my understanding, the contribution lies in the proposed (overparameterized) formulation of learning a low-rank Mahalanobis metric for the KISSME objective function. Certainly, the extension to deep feature training is interesting, but relatively straightforward as compared to the main contribution. The title could reflect this more accurately.\n\nThe main motivation of the paper to base itself on KISSME is scalability, see introduction. However, for the case where a CNN is trained it seems that it is likely to be in a large-scale data and iterative training regime, and it is not obvious that KISSME would be more efficient than other metric learning objectives based on a pairwise or triplet loss. Therefore, comparison with other metric learning objective functions in both performance and run time would be very useful to get a complete picture of which methods are most effective under what conditions. \n\n\n[A] Guillaumin, M.; Mensink, T.; Verbeek, J. & Schmid, C. Face recognition from caption-based supervision IJCV, 2012, 96, 64-82\n", "confidence": "4: The reviewer is confident but not absolutely certain that the evaluation is correct"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "", "abstract": " ", "pdf": "/pdf/e4c133068cf851617ae25510b7a65f93df9c31e5.pdf", "TL;DR": "We propose: ", "conflicts": [""], "authors": [""], "authorids": [""], "keywords": []}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "duedate": 1481932799000, "tmdate": 1482512678408, "id": "ICLR.cc/2017/conference/-/paper163/official/review", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2017/conference/paper163/reviewers"], "noninvitees": ["ICLR.cc/2017/conference/paper163/AnonReviewer3", "ICLR.cc/2017/conference/paper163/AnonReviewer2", "ICLR.cc/2017/conference/paper163/AnonReviewer1"], "reply": {"forum": "SJUdkecgx", "replyto": "SJUdkecgx", "writers": {"values-regex": "ICLR.cc/2017/conference/paper163/AnonReviewer[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper163/AnonReviewer[0-9]+"}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"order": 1, "description": "Brief summary of your review.", "value-regex": ".{0,500}"}, "review": {"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]{1,20000}"}, "rating": {"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": {"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": 1489708799000, "cdate": 1482512678408}}}, {"tddate": null, "tmdate": 1481905474598, "tcdate": 1481905474598, "number": 2, "id": "HyqrH9ZEl", "invitation": "ICLR.cc/2017/conference/-/paper163/official/review", "forum": "SJUdkecgx", "replyto": "SJUdkecgx", "signatures": ["ICLR.cc/2017/conference/paper163/AnonReviewer2"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper163/AnonReviewer2"], "content": {"title": "reviving a promising metric learning approach through the lens of deep learning", "rating": "7: Good paper, accept", "review": "KISSME was a promising metric learning approach that got lost in the deep learning flood. This is a shame since it had very good results at the time, but it was hindered by the quirks of the PCA pre-processing stage. In a nutshell, this paper reimagines this approach using deep convnets, gets good results on modern benchmark datasets and does not require meticulous preprocessing tricks. It therefore deserves to be published, since it rescues a promising approach from obscurity and does a competent job of illustrating its potential in a modern context, with all the necessary discussion of related work on old (LMNN, MMC, PCCA) and new (deep, triplet-loss based) metric learning approaches.", "confidence": "3: The reviewer is fairly confident that the evaluation is correct"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "", "abstract": " ", "pdf": "/pdf/e4c133068cf851617ae25510b7a65f93df9c31e5.pdf", "TL;DR": "We propose: ", "conflicts": [""], "authors": [""], "authorids": [""], "keywords": []}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "duedate": 1481932799000, "tmdate": 1482512678408, "id": "ICLR.cc/2017/conference/-/paper163/official/review", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2017/conference/paper163/reviewers"], "noninvitees": ["ICLR.cc/2017/conference/paper163/AnonReviewer3", "ICLR.cc/2017/conference/paper163/AnonReviewer2", "ICLR.cc/2017/conference/paper163/AnonReviewer1"], "reply": {"forum": "SJUdkecgx", "replyto": "SJUdkecgx", "writers": {"values-regex": "ICLR.cc/2017/conference/paper163/AnonReviewer[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper163/AnonReviewer[0-9]+"}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"order": 1, "description": "Brief summary of your review.", "value-regex": ".{0,500}"}, "review": {"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]{1,20000}"}, "rating": {"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": {"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": 1489708799000, "cdate": 1482512678408}}}, {"tddate": null, "tmdate": 1481899838513, "tcdate": 1481899838513, "number": 1, "id": "HkIrkKbNg", "invitation": "ICLR.cc/2017/conference/-/paper163/official/review", "forum": "SJUdkecgx", "replyto": "SJUdkecgx", "signatures": ["ICLR.cc/2017/conference/paper163/AnonReviewer3"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper163/AnonReviewer3"], "content": {"title": "A potentially useful contribution in metric learning with deep nets, but the paper lacks clarity and polish", "rating": "7: Good paper, accept", "review": "The paper modifies the KISSME algorithm in two ways: by incorporating a dimensionality reduction step and by integrating it in a loss function for learning deep networks. Experiments show that the latter solution is more stable than standard approaches to metric learning with deep nets.\n\nThe paper contribution could be good, but the paper could use some polish. After carefully reading the authors' response to my original questions, I have to say that I am still confused about several details.\n\nLemma 1 states that \"log(delta) identifies a Mahalanobis metric ... as M = Proj(...)\". I still think that the wording of the Lemma is imprecise; the authors should probably simply say that log(delta) results in an approximation of a certain metric, up to a constant term. The word \"identifies\" definitely does not mean \"approximates\", which, since the word \"approximation\" is contained in the proof of the Lemma, is what is happening here. The authors have promised to fix this issue in the final version by changing the wording to \"log(\\delta) determines a Mahalanobis metric\", but \"determines\" means that log(\\delta) is a metric, whereas it seems to only *approximate* a metric.\n\nNote also that the proof contains the sentence \"the Mahalanobis distance should approximate\". It is quite odd to find the verb \"should\" in a mathematical proof. Ultimately, we are not sure what is being proved since the statement of the lemma is imprecise.\n\nFollowing up on this discussion, about the relationships between Eq. 4 and 6, the authors comment that \"While, the form of Eq.6 may suggest that it is an approximation to Eq.4, as discussed above, it is indeed the form of metric obtained in the latent space\". I agree that, taken in isolation, this is a valid definition of some metric, but then, at the very least, the paper links this up with the rest of the discussion in a very confusing manner. Note that Eq. 6 is obtained \"using lemma 1\", which contains the world \"approximation\" in the proof.\n\nWhile none of these issues necessarily invalidates the *method* and the *results* of the paper, they make the *premises* a little tenuous and confusing.\n\nA second contribution of the paper is to incorporate KISSME in metric learning using deep networks and pairwise loss. Here the authors clarify satisfactorily the difference between standard metric learning in deep networks and their approach in their answers. I would recommend putting the comparison with the baselines upfront to make this message clearer to the reader (e.g. by moving Section 4.2 before Section 4.1).\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nEq. (5) and (6) are supposed to \"reflect better\" Eq. (1) than Eq. (4). In fact, Eq. (6) is a regularised version of Eq. (4) (by the low-dimensional bottleneck), so it can only be a worse approximation of Eq. (1). Probably the authors mean that the regularisation can make Eq. (6) preferable to Eq. (4) on the test data.\n\nI would also like to understand better how the method is integrated in deep learning. As noted by the authors, with CNNs one can simply learn a projection matrix L as the last FC layer and define the metric to be L'L. Learning can use the usual Siamese scheme with pairwise or triplet losses. I am rather confused how the proposed algorithm relates to this approach according (Section 3). My understanding is that one first fixes L and trains the rest of the network optimising the pairwise loss Eq. (14). Once this is done, one updates L as the square root of the matrix M obtained by the modified KISSME algorithm. Is that correct? If so, the authors should compare to the obvious baseline of optimising L directly as part of back-propagation while training the network, as this is a much more direct approach.\n\nI am also confused about the dimensionality reduction role of matrix W. In Eq. (5) W^T is used to take the data down from dimension D to dimension d. However, when applied to a CNN, the dimensionality reduction is assumed to be incorporated in the network itself, such that the dimension of the CNN representation is d from the outset. Hence, in this case the modified KISSME algorithm does not need to perform any dimensionality reduction. Is that so? Can the authors give us an intuition of what their algorithm brings on top of standard Siamese learning in this case?\n\nExperiments:\n\nComparison with state of the art on the Car dataset is not very meaningful as every method appear to use a different underlying deep net. The paper uses GoogLeNet, which is significantly better than VGG-M used by Liu et al (2016). Hence it is not surprising that the authors obtain a better performance.\n\nI am more interested in understanding the comparison with the KISSME baseline. How is this baseline applied to this data? Is there any fine tuning of the CNN at all? If not, this may be enough to explain the difference with the proposed JDR-KISSME.\n\nThere is one last experiment on CIFAR after conclusion and references. Should we consider that as well?", "confidence": "3: The reviewer is fairly confident that the evaluation is correct"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "", "abstract": " ", "pdf": "/pdf/e4c133068cf851617ae25510b7a65f93df9c31e5.pdf", "TL;DR": "We propose: ", "conflicts": [""], "authors": [""], "authorids": [""], "keywords": []}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "duedate": 1481932799000, "tmdate": 1482512678408, "id": "ICLR.cc/2017/conference/-/paper163/official/review", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2017/conference/paper163/reviewers"], "noninvitees": ["ICLR.cc/2017/conference/paper163/AnonReviewer3", "ICLR.cc/2017/conference/paper163/AnonReviewer2", "ICLR.cc/2017/conference/paper163/AnonReviewer1"], "reply": {"forum": "SJUdkecgx", "replyto": "SJUdkecgx", "writers": {"values-regex": "ICLR.cc/2017/conference/paper163/AnonReviewer[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper163/AnonReviewer[0-9]+"}, "readers": {"description": "The users who will be allowed to read the above content.", "values": ["everyone"]}, "content": {"title": {"order": 1, "description": "Brief summary of your review.", "value-regex": ".{0,500}"}, "review": {"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]{1,20000}"}, "rating": {"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": {"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": 1489708799000, "cdate": 1482512678408}}}, {"tddate": null, "tmdate": 1481485268363, "tcdate": 1481485268357, "number": 3, "id": "BJhRjQoQe", "invitation": "ICLR.cc/2017/conference/-/paper163/pre-review/question", "forum": "SJUdkecgx", "replyto": "SJUdkecgx", "signatures": ["ICLR.cc/2017/conference/paper163/AnonReviewer1"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper163/AnonReviewer1"], "content": {"title": "Experimental comparison and scalability", "question": "Hi, \n\nit would be very useful if you could comment on the following two points, sorry for posting these only late.\nMany thanks\n\nIn the first experiment, the authors compare to related metric learning work. They claim that the proposed approach \"achieves the state-of-the-art verification accuracies\", but this seems unjustified as the CNNs used to generate the features by the authors is different from the one used in related work. Thus it seems to me that no conclusions on the quality of the proposed approach as compared to others can be drawn from these experiments.\n\nThe main motivation of the paper to base itself on KISSME is scalability, see introduction. However, for the case where a CNN is trained it seems that it is likely to be in a large-scale data and iterative training regime, and it is not obvious that KISSME would be more efficient than other metric learning objectives based on a pairwise or triplet loss.\n\n\n\n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "", "abstract": " ", "pdf": "/pdf/e4c133068cf851617ae25510b7a65f93df9c31e5.pdf", "TL;DR": "We propose: ", "conflicts": [""], "authors": [""], "authorids": [""], "keywords": []}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "duedate": 1480741199000, "tmdate": 1481485268864, "id": "ICLR.cc/2017/conference/-/paper163/pre-review/question", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2017/conference/paper163/reviewers"], "noninvitees": ["ICLR.cc/2017/conference/paper163/AnonReviewer3", "ICLR.cc/2017/conference/paper163/AnonReviewer2", "ICLR.cc/2017/conference/paper163/AnonReviewer1"], "reply": {"forum": "SJUdkecgx", "replyto": "SJUdkecgx", "writers": {"values-regex": "ICLR.cc/2017/conference/paper163/AnonReviewer[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper163/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": {"order": 1, "description": "Brief summary of your question.", "value-regex": ".{1,500}"}, "question": {"order": 2, "description": "Your question", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "expdate": 1488517199000, "cdate": 1481485268864}}}, {"tddate": null, "tmdate": 1481252337320, "tcdate": 1481252337313, "number": 2, "id": "SkKgRcwXl", "invitation": "ICLR.cc/2017/conference/-/paper163/pre-review/question", "forum": "SJUdkecgx", "replyto": "SJUdkecgx", "signatures": ["ICLR.cc/2017/conference/paper163/AnonReviewer2"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper163/AnonReviewer2"], "content": {"title": "hard negative mining", "question": "As you describe in \u00a7 4, this isn't the focus of your work, but I'm wondering how you might incorporate best mining practices into your approach."}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "", "abstract": " ", "pdf": "/pdf/e4c133068cf851617ae25510b7a65f93df9c31e5.pdf", "TL;DR": "We propose: ", "conflicts": [""], "authors": [""], "authorids": [""], "keywords": []}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "duedate": 1480741199000, "tmdate": 1481485268864, "id": "ICLR.cc/2017/conference/-/paper163/pre-review/question", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2017/conference/paper163/reviewers"], "noninvitees": ["ICLR.cc/2017/conference/paper163/AnonReviewer3", "ICLR.cc/2017/conference/paper163/AnonReviewer2", "ICLR.cc/2017/conference/paper163/AnonReviewer1"], "reply": {"forum": "SJUdkecgx", "replyto": "SJUdkecgx", "writers": {"values-regex": "ICLR.cc/2017/conference/paper163/AnonReviewer[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper163/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": {"order": 1, "description": "Brief summary of your question.", "value-regex": ".{1,500}"}, "question": {"order": 2, "description": "Your question", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "expdate": 1488517199000, "cdate": 1481485268864}}}, {"tddate": null, "tmdate": 1480075851421, "tcdate": 1480075851416, "number": 1, "id": "SyQ8coBMg", "invitation": "ICLR.cc/2017/conference/-/paper163/pre-review/question", "forum": "SJUdkecgx", "replyto": "SJUdkecgx", "signatures": ["ICLR.cc/2017/conference/paper163/AnonReviewer3"], "readers": ["everyone"], "writers": ["ICLR.cc/2017/conference/paper163/AnonReviewer3"], "content": {"title": "Some questions on technical content and experiments", "question": "Technical content:\n\nThere are several imprecisions in the paper which I would like the authors to clarify:\n\nLemma 1 states that \"log(delta) identifies a Mahalanobis metric ... as M = Proj(...)\". While clearly the projection operator results, by definition of its range, in a metric, there is no clear definition of what \"identifies\" means. My best interpretation of \"identify\" is that log(delta) results in a quantity that is roughly similar to M.\n\nEq. (5) and (6) are supposed to \"reflect better\" Eq. (1) than Eq. (4). In fact, Eq. (6) is a regularised version of Eq. (4) (by the low-dimensional bottleneck), so it can only be a worse approximation of Eq. (1). Probably the authors mean that the regularisation can make Eq. (6) preferable to Eq. (4) on the test data.\n\nI would also like to understand better how the method is integrated in deep learning. As noted by the authors, with CNNs one can simply learn a projection matrix L as the last FC layer and define the metric to be L'L. Learning can use the usual Siamese scheme with pairwise or triplet losses. I am rather confused how the proposed algorithm relates to this approach according (Section 3). My understanding is that one first fixes L and trains the rest of the network optimising the pairwise loss Eq. (14). Once this is done, one updates L as the square root of the matrix M obtained by the modified KISSME algorithm. Is that correct? If so, the authors should compare to the obvious baseline of optimising L directly as part of back-propagation while training the network, as this is a much more direct approach.\n\nI am also confused about the dimensionality reduction role of matrix W. In Eq. (5) W^T is used to take the data down from dimension D to dimension d. However, when applied to a CNN, the dimensionality reduction is assumed to be incorporated in the network itself, such that the dimension of the CNN representation is d from the outset. Hence, in this case the modified KISSME algorithm does not need to perform any dimensionality reduction. Is that so? Can the authors give us an intuition of what their algorithm brings on top of standard Siamese learning in this case?\n\nExperiments:\n\nComparison with state of the art on the Car dataset is not very meaningful as every method appear to use a different underlying deep net. The paper uses GoogLeNet, which is significantly better than VGG-M used by Liu et al (2016). Hence it is not surprising that the authors obtain a better performance.\n\nI am more interested in understanding the comparison with the KISSME baseline. How is this baseline applied to this data? Is there any fine tuning of the CNN at all? If not, this may be enough to explain the difference with the proposed JDR-KISSME.\n\nThere is one last experiment on CIFAR after conclusion and references. Should we consider that as well?\n\n\n\n\n\n\n\n"}, "nonreaders": [], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "", "abstract": " ", "pdf": "/pdf/e4c133068cf851617ae25510b7a65f93df9c31e5.pdf", "TL;DR": "We propose: ", "conflicts": [""], "authors": [""], "authorids": [""], "keywords": []}, "tags": [], "invitation": {"rdate": null, "tddate": null, "ddate": null, "duedate": 1480741199000, "tmdate": 1481485268864, "id": "ICLR.cc/2017/conference/-/paper163/pre-review/question", "writers": ["ICLR.cc/2017/conference"], "signatures": ["ICLR.cc/2017/conference"], "readers": ["everyone"], "invitees": ["ICLR.cc/2017/conference/paper163/reviewers"], "noninvitees": ["ICLR.cc/2017/conference/paper163/AnonReviewer3", "ICLR.cc/2017/conference/paper163/AnonReviewer2", "ICLR.cc/2017/conference/paper163/AnonReviewer1"], "reply": {"forum": "SJUdkecgx", "replyto": "SJUdkecgx", "writers": {"values-regex": "ICLR.cc/2017/conference/paper163/AnonReviewer[0-9]+"}, "signatures": {"values-regex": "ICLR.cc/2017/conference/paper163/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": {"order": 1, "description": "Brief summary of your question.", "value-regex": ".{1,500}"}, "question": {"order": 2, "description": "Your question", "value-regex": "[\\S\\s]{1,5000}"}}}, "nonreaders": [], "expdate": 1488517199000, "cdate": 1481485268864}}}], "count": 10}
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{"artist": "AZ", "songs": [{"title": "Do Me This Way", "image": "https://images.genius.com/c0a4aa336ec766ea191955d38d45cd5d.911x904x1.jpg", "album": "Last of a Dying Breed 2", "lyrics": "[Talking]\nI mean, I mean we peoples man we started from the bottom. I thought it was gonna be fly up to the top you dig. I mean, ya know? we all got dreams and aspirations man I mean we peoples we done been through it all you gon, you gon do me like this? we damn near family wasup man talk to me\n\n[Verse:1]\nWe been down from the dirt genesis birth\nWoulda swore we woulda balled 'till they set us in the earth\nWe was been on our worst with the letters on our shirt\nJewels on our chest only moved with the best\nThe rest was upset but the rest was no threat\nFresh was the less sky box at the Jets\nFloor at the Nets we was more than some vets\nLegandary known balled more than the mess\nBut guess princess says on the neck for wreck\nVenley I styled off the deck, was speck\nJail calls accept all collects connects had all kinds of niggas in check\nCorrect\nI wouldn't of known this here was next got a gun to my head and you want a nigga dead\n\n[Talking]\nI mean, listen you could have it all baby I mean, I only get one life ain't no remix on it we family still. So many whirls we go through, my shorty\n\n[Verse:2]\nI showed you the life I gave you the mic\nYou ain't shy no more you say what you like\nYou play all polite but its all day and night\nBipolar zone but I gave you the throne\nNext to the king you untreacherous thing\nYou set the stage I selected the ring your first Jimmy Juice your red bottom shoes\nSpy bag collection I had direction\nI kept giving you kept accepting smiley face texting so wide a deception\nWhy munip me? do it so slickly you said you loved I but you fucking the next guy\nIf it was me you'da pulled the left eye but let's try\nThough I can't believe it\nI know the best I but we got a chance to weave it\nSee its never too late when together you stay\nI just would've never ever thought you stray\n\n[Talking]\nIt's okay I mean, just to fuck thats what you was just doing fucking right? I mean that's for the moment I'm a bigger nigga I done do my lil dirt but, got too much shit going on don't do the kid like this pack your shit we out of here", "year": "2009-06-30"}]}
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{"paper": {"title": "LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos", "authors": ["Elke Kirschbaum", "Manuel Hau\u00dfmann", "Steffen Wolf", "Hannah Sonntag", "Justus Schneider", "Shehabeldin Elzoheiry", "Oliver Kann", "Daniel Durstewitz", "Fred A Hamprecht"], "authorids": ["elke.kirschbaum@iwr.uni-heidelberg.de", "manuel.haussmann@iwr.uni-heidelberg.de", "steffen.wolf@iwr.uni-heidelberg.de", "hannah.sonntag@mpimf-heidelberg.mpg.de", "justus.schneider@physiologie.uni-heidelberg.de", "shehab.elzoheiry@physiologie.uni-heidelberg.de", "oliver.kann@physiologie.uni-heidelberg.de", "daniel.durstewitz@zi-mannheim.de", "fred.hamprecht@iwr.uni-heidelberg.de"], "summary": "We present LeMoNADe, an end-to-end learned motif detection method directly operating on calcium imaging videos.", "abstract": "Neuronal assemblies, loosely defined as subsets of neurons with reoccurring spatio-temporally coordinated activation patterns, or \"motifs\", are thought to be building blocks of neural representations and information processing. We here propose LeMoNADe, a new exploratory data analysis method that facilitates hunting for motifs in calcium imaging videos, the dominant microscopic functional imaging modality in neurophysiology. Our nonparametric method extracts motifs directly from videos, bypassing the difficult intermediate step of spike extraction. Our technique augments variational autoencoders with a discrete stochastic node, and we show in detail how a differentiable reparametrization and relaxation can be used. An evaluation on simulated data, with available ground truth, reveals excellent quantitative performance. In real video data acquired from brain slices, with no ground truth available, LeMoNADe uncovers nontrivial candidate motifs that can help generate hypotheses for more focused biological investigations.", "keywords": ["VAE", "unsupervised learning", "neuronal assemblies", "calcium imaging analysis"]}, "meta": {"decision": "Accept (Poster)", "comment": "This paper is about representation learning for calcium imaging and thus a bit different in scope that most ICLR submissions. But the paper is well-executed with good choices for the various parts of the model making it relevant for other similar domains."}, "review": {"H1g_CX2Q14": {"type": "rebuttal", "replyto": "rkltL6Vc0Q", "comment": "We kindly thank AnonReviewer1 for increasing his/her score. \n\nAs stated in the ICLR 2019 Call for Papers, applications of deep learning to neuroscience and computational biology belong to the relevant topics explored at the conference. For this reason, in our opinion, the manuscript is well-suited for ICLR, since we apply unsupervised representation learning to an interesting and important problem in the field of neuroscience. \n", "title": "In our opinion, the manuscript is well-suited for ICLR"}, "Sye_xEmt2X": {"type": "review", "replyto": "SkloDjAqYm", "review": "The paper proposes a VAE-style model for identifying motifs from calcium imaging videos. As opposed to standard VAE with Gaussian latent variables it relies on Bernouli variables and hence, requires Gumbel-softmax trick for inference. Compared to methods based on matrix factorization, the proposed method has the advantage of not requiring any preprocessing on the imaging videos. My main comments are as follows:\n\n- How sensitive is the method to the choice of beta and other hyperparameters? Compared to SCC which has fewer hyperparameters, how robust is the method?\n- How does it perform on real data compared to methods based on spike time matrices? Do they generate similar motifs? \n- The application of the method seems quite limited to calcium imaging videos and it does not provide comparison with other deep generative models for videos. Methods such as Johnson et al. NIPS 2016 (Composing graphical models with neural networks for structured representations and fast inference) can also be applied to calcium imaging datasets and can potentially infer the motifs.\n\nI believe the problem of inferring the neural motifs is an interesting problem; however, I think this paper requires more work to it shows its advantages over other deep generative models for video data and also it\u2019s performance on real data compared to SCC (or some other matrix factorization based approach). \n-----------------------------------------------------------------------\nThe authors have addressed my comments about other deep generative models and hyperparameter sensitivity. However, I still think the paper is more suitable for other venues with readers from the neuroscience community. Hence, I change my rating to 5. ", "title": "Interesting problem but the advantages of the model over other deep generative models are unclear", "rating": "5: Marginally below acceptance threshold", "confidence": "4: The reviewer is confident but not absolutely certain that the evaluation is correct"}, "SJgD2xKHA7": {"type": "rebuttal", "replyto": "BJef6TNVAQ", "comment": "While GANs could be used to learn a generative distribution close to being indistinguishable from the observed data distribution, they are not directly applicable to the question we are targeting here. We are primarily interested in learning a certain constrained latent space structure for motif identification. In order to get a posterior estimate for these latent variables, performing amortized inference via the proposed VAE is an intuitive and stable approach. This is not possible with a standard GAN.\n\nBy fixing F to a certain value we do not assume a fixed assembly firing structure. The value F only provides an upper bound for the temporal extend of the firing pattern. Within the F frames we do not restrict the firing structure at all. \nAn appropriate value of F mainly depends on the setup of the neurophysiological experiment and the research question in mind. For example, depending on the frame rate of the recording in one case it might make sense to look for motifs with temporal extend up to F=50 frames; while in another case with much lower frame rate motifs with temporal extend beyond 5 frames would be a big surprise. For this reason we intentionally left F as a parameter to be specified by the user. In cases where one is uncertain about the maximum temporal extent to be expected, there is no harm (other than computational effort) starting with a rather too large value of F. \n\nThere are different potential outcomes of the method where the distinction between firing patterns that are actually repeating in the data and artefacts is easily possible with a background in neurophysiology (which we expect the users of our method to have). \nOne example is shown in motif 1 found in real dataset 1. This motif shows extremely high luminosity in large parts of the imaging plane and individual cells can hardly be identified. When looking at the motif and also at the original video one easily sees that this comes from a single event at the beginning of the recording when the carbachol was washed in and the neuronal activity started. \nA second example are the motifs 1 and 2 found in dataset 2. When looking at them one sees that they also do not show individual cells but just randomly looking values. Therefore they can be easily identified as background noise. \nIn addition to looking at the motifs themselves, one can also look at the activations. Even in the not-thresholded case motif 1 and 2 of dataset 1 show only one big peak in their activations. As the patterns we are looking for are defined by reoccurrence, this clearly identifies this \u201cmotifs\u201d as artefacts. Thresholding the activations makes this finding even clearer. \nHowever, we prefer not to provide general instructions about when to discard a motif as this might also highly depend on the experimental setup and the scientific question. \n\nNeuronal assemblies are expected to show slightly variations in their firing and not every time the motif is active all cells might participate in the firing. Hence we expect the motif activation peaks to have different heights. Since the cells participating in any given motif will usually also fire outside the context of the motif, motif activation will also be non-zero elsewhere. We chose the threshold of 70% in order to show that for the motifs 0 found in the two datasets there are multiple time points in the recordings when a huge majority of the pattern is reactivated. Depending on the concrete scientific question it might be useful to apply a different threshold. \n", "title": "Response to additional comments and questions"}, "SkluQYSgRX": {"type": "rebuttal", "replyto": "SJlbVaTcTQ", "comment": "We are gratefull for AnonReviewer4's extra effort in order to provide us with a third review. We also thank him/her for the positive comments and for considering our paper to be well written and structured, and improving researchers efficiency. \n\nWe agree that the application to fMRI and other imaging modalities makes for interesting future work. \n\nWe took the reviewers comment into account and added a remark in the revised version at the beginning of section 3. The great benefit of this generative model in combination with the proposed VAE is the possibility to directly extract the temporal motifs and their activations and at the same time take into account the sparse nature of neuronal assemblies. \n", "title": "Response to AnonReviewer4"}, "SJlbVaTcTQ": {"type": "review", "replyto": "SkloDjAqYm", "review": "Thank you for a pleasurable and informative read, I consider the writing and structure of the paper to be coherent and well written. \n\nGiven an end-to-end learning of neural motifs, a great deal of time can be avoided, reducing the several intermediary steps required to detect motifs from calcium imaging. This paper may very well improve researchers efficiency, in particular when working with calcium imaging. The question remain to what extent these ideas may be useful in other imaging modalities, i.e. fMRI.\n\nMy main critique would be to be more explicit about why the VAE you propose, is superior to other models in the generative modelling domain.", "title": "Interesting ideas applied in the neural domain", "rating": "8: Top 50% of accepted papers, clear accept", "confidence": "4: The reviewer is confident but not absolutely certain that the evaluation is correct"}, "H1lDvaPu6Q": {"type": "rebuttal", "replyto": "Sye_xEmt2X", "comment": "We appreciate the reviewers comments and will address them in the following and in the revised version of the manuscript which is already uploaded. \n\nSensitivity to parameters: \nThe main parameters that need to be chosen for each dataset individually are the maximum number of motifs and the maximum motif length. In appendix E.1 and E.2 we show the effects of over- and under-estimating these numbers for LeMoNADe and that they can be set to quite liberal values. Additionally, one of the sparsity parameters beta or \u00e2 has to be adapted to the dataset. In appendix E.3 of the revised version we provide examples of different settings of \u00e2 and beta, showing that they are complementary. This leaves us with three parameters that have to be adapted to a new dataset. For SCC also three parameters have to be chosen: number of motifs, motif length, penalty on l_1 norm of the assemblies = sparsity parameter. \nThe examples in appendix E.3 also indicate that LeMoNADe's results are robust to small variations of \u00e2 and beta and the results only change significantly when the parameters are varied by more than one order of magnitude. Peter et al. describe a similar sensitivity of SCC to the variation of their sparsity parameter. \nOther hyper parameters of LeMoNADe (e.g. temperatures of the BinConcrete relaxation, learning rate) do not need to be adapted to different datasets. We found that our default settings worked well for different kinds of data. \n\nResults on real data compared to SCC results:\nIn appendix D.3 of the revised version we now show the results obtained with SCC on calcium traces of manually extracted ROIs from one of the datasets discussed in the paper. We also show, using traces extracted from the motif identified with LeMoNADe on the original dataset, that SCC and LeMoNADe find highly similar motifs on real data. \n\nOther generative models: \nAs we mention in the related work section, a few deep generative models exist dealing with video data. However, to the best of our knowledge, none of these models is directly applicable to the task of detecting motifs with temporal structure in calcium imaging data. \nIndeed, Johnson et al. present an interesting generative model for the analysis of video data. However, we consider this model as not being able to identify motifs with temporal structure from calcium imaging data due to two limitations (for the detection of motifs in calcium videos) of the model by Johnson et al.:\n1. Neuronal assemblies are expected to extend over multiple frames (depending on\nthe frame rate of the recording this could be easily more than 20 frames). Since in Johnson\net al.'s model the underlying latent process is a relatively simple first-order Markovian (switching) linear process, representing longer-term temporal dependencies will be very hard to achieve due to the usually exponential forgetting in such systems. In fact, Johnson et al.'s framework would need to be significantly extended, e.g. using LSTM units, to adapt their model for this task, which is a non-trivial task and could be considered to be a paper in its own right.\n2. In the model of Johnson et al. each frame is generated from exactly one of K latent states. For calcium imaging, however, most frames are not generated by one of the motifs but from noise. While LeMoNADe has the chance to set the latent variables for noise frames simply to zero, Johnson et al.'s model would have to choose one motif as responsible for the frame even if it contains only noise. Moreover, LeMoNADe has the flexibility to also allow the different motifs to temporally overlap. This is also not possible in the model by Johnson et al., since they allow always only exactly one latent state for each frame. \nFor this reason, we cannot compare to Johnson et al. on the task of detecting motifs in calcium imaging data. In the revised version of the manuscript we extended our citation of Johnson et al. with a short explanation why the model is not directly applicable to our setup of motif detection from calcium imaging data. \n\nThe application is limited to calcium imaging data:\nThe model and network architectures are indeed optimised for the task of detecting motifs in calcium imaging data. This is, however, no downside of the method. Calcium imaging is a method of first importance in neurophysiology. It allows the concurrent monitoring of the individual actions of thousands of neurons at the same time. As explained above, no other method is directly applicable to finding temporal motifs in calcium imaging data and in order to do so we had to adapt our method to the special properties of calcium imaging and neuronal assemblies. Nevertheless, our approach could also be adapted for detecting spatio-temporal motifs in data from other imaging techniques, such as voltage-sensitive dyes or functional magnetic resonance imaging (fMRI).", "title": "Response to AnonReviewer1 "}, "Hyxv_pZwa7": {"type": "rebuttal", "replyto": "B1l-SROznQ", "comment": "We kindly thank the reviewer for his/her positive feedback. We would appreciate it if you could state again - as you did in your last review - why the problem we address is an important one and why quote \"having an end-to-end procedure to learn motifs would be awesome\". :) \nOf course there are different approaches in general to infer generative models. However, given our particular generative model our approach to do inference via VI in the form of a VAE is rather intuitive and stable compared to e.g. sampling based approaches which are computationally more expensive or EM based approaches which are usually less flexible. So we are not using VAEs just because they are all the rage right now (then we would use a GAN anyway ;) ). Nevertheless, we will of course continue doing research on this topic and will also investigate other approaches in future work. \n", "title": "we liked your review last time, and we like it still ;)"}, "B1l-SROznQ": {"type": "review", "replyto": "SkloDjAqYm", "review": "last time i had two comments:\n1. the real data motifs did not look like what i'd expect motifs to look like. now that the authors have thresholded the real data motifs, they do look as i'd expect.\n2. i'm not a fan of VAE, and believe that simpler optimization algorithms might be profitable. i acknowledge that SCC requires additional steps; i am not comparing to SCC. rather, i'm saying given your generative model, there are many strategies one could employ to estimate the motifs. i realize that VAE is all the rage, and is probably fine. in my own experiments, simpler methods often work as well or better for these types of problems. i therefore believe this would be an interesting avenue to explore in future work.", "title": "i liked this paper last time i reviewed it, and i like it still :)", "rating": "8: Top 50% of accepted papers, clear accept", "confidence": "5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature"}}}
{ "main": { "name": "Chandra Mohan.S", "occupation": "CSE student,Web devoleper", "description": "React js and python lover", "image": "chand.jpg", "bio": "I am Chandra Mohan,I am a CSE student in Sri Krishna College Of Technology.Working on projects with react js and python", "contactmessage": "Get in touch with me for react,javascript and python based works,specialy in the web devolepment domain", "email": "chandrashanmugam007@gmail.com", "phone": "9360740964", "address": { "street": "Nallur", "city": "Tirupur", "state": "India", "zip": "" }, "website": "", "resumedownload": "#resume", "social": [ { "name": "facebook", "url": "", "className": "fa fa-facebook" }, { "name": "linkedin", "url": "", "className": "fa fa-linkedin" }, { "name": "instagram", "url": "https://www.instagram.com/chandra_mohan7/", "className": "fa fa-instagram" }, { "name": "github", "url": "https://github.com/Chandra-mohan31", "className": "fa fa-github" } ] }, "resume": { "skillmessage": "Here you can create a short write-up of your skills to show off to employers", "education": [ { "school": "Sri Krishna College of Technology", "degree": "B.E. CSE", "graduated": "", "description": "currently studying 2nd year" } ], "work": [ { "company": "Student", "title": "Web Developer", "years": "About to start freelancing", "description": "working on cool React projects and cloned many big company's websites,which can be viewed below in my work" }, { "company": "", "title": "", "years": "", "description": "" } ], "skills": [ { "name": "ReactJs", "level": "85%" }, { "name": "Javascript", "level": "80%" }, { "name": "Python", "level": "80%" }, { "name": "React Native", "level": "60%" }, { "name": "Java", "level": "70%" }, { "name": "CSS", "level": "80%" }, { "name": "Git", "level": "60%" }, { "name": "HTML5", "level": "90%" } ] }, "portfolio": { "projects": [ { "title": "Amazon-clone", "category": "Amazon-clone built with React and firebase", "image": "amazon.png", "url": "https://newapp-22ead.web.app" }, { "title": "facebook-clone", "category": "facebook-clone built using React and firebase", "image": "facebook-clone.png", "url": "https://social-media-app-afbda.web.app/" }, { "title": "Covid-19 Tracker", "category": "Devoleped using React and firebase", "image": "covid19tracker.png", "url": "https://covid19tracker-4c4f6.web.app/" }, { "title": "Talking Chat Bot", "category": "Built using vanilla javascript", "image": "Bot.png", "url": "" } ] }, "testimonials": { "testimonials": [ { "text": "I am highly confident of my react and javascript skills,i am sure i can handle any kind of challenges and projects in the frontend.Soon will update my Backend skills.", "user": "Chandra Mohan.S" } ] } }
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{"name":"FANTAIL 26 (TARTAN)","images":[{"alt":"Tartan Fantail 26 (DS) drawing on sailboatdata.com","src":"imagehelper.asp?file_id=10088","type":"drawing"}],"basics":{"hullType":"Fin w/bulb & spade rudder","rigType":"Fractional Sloop","loa":{"feet":26,"meters":7.92},"lwl":{"feet":22.13,"meters":6.75},"beam":{"feet":8.42,"meters":2.57},"listedSa":{"feet":353,"meters":32.79},"draftMax":{"feet":4.5,"meters":1.37},"draftMin":null,"displacement":1383,"ballast":544,"sailAreaDisp1":26.92,"balDisp":39.33,"dispLen":125.63,"designer":"Tim Jackett","builder":"Tartan Marine (USA)","construction":"FG","balType":"Lead","firstBuilt":"2011","lastBuilt":null,"numBuilt":null},"auxPower":{"make":"Torqeedo","model":null,"type":"Electric","hp":null},"rigSail":{"i_ig":{"feet":34,"meters":10.36},"j":{"feet":9.83,"meters":3},"p":{"feet":33.75,"meters":10.29},"e":{"feet":11,"meters":3.35},"py":null,"ey":null,"isp":null,"spl_tps":null,"saFore":{"feet":167.11,"meters":15.52},"saMain":{"feet":185.63,"meters":17.24},"sailArea":{"feet":352.74,"meters":32.77},"sailAreaDisp2":26.9,"estForestayLength":{"feet":35.39,"meters":10.79}},"buildersPastPresent":[{"href":"view_builder.asp?builder_id=156","title":"Tartan Marine"}],"designer":[{"href":"view_designer.asp?designer_id=242","title":"Tim Jackett"}],"notes":"'Daysailer' (shown here) or 'Weekender' models."}
{"poster":"Colossify","date":"2016-07-16T23:22:12.716+0000","title":"Abandon Gaming Academy Team Looking For Jungler Mid and Support","subforum":"[ARCHIVED] Player Recruitment","up_votes":1,"down_votes":0,"body":"Hi all! I&#039;m AG Colossus and I&#039;m apart of Abandon Gaming I&#039;m also 16 years old\r\n\r\nWe&#039;re a part of 3 mini-LCS style tournaments right now, and we&#039;re looking to field another roster to join us in these leagues.\r\n\r\nWhy should I join Abandon Gaming?\r\nWe&#039;re here to offer you the best possible competitive experience that low elo LoL can bring you. We have 2 Diamond 4 coaches willing to work with you on a team, and individual basis to ensure you are becoming the best you can be at your role. We also offer a fun and competitive scrim environment where (on your practice days) you can scrim us and the other teams we have listed as scrim partners. We make sure that teams are working as professionally as possible as well. This meaning you will have set practice times, go over champion pools and comps that work well for your team, VOD reviews, researching enemy teams, etc.\r\n\r\nAs of now we are looking for every role. We are only accepting people who are a minimum of Silver+. Post an application and I will get back to you.\r\nDO NOT ADD ME. YOU ADD ME, I&#039;LL BLOCK YOU SO DAMN FAST SON LEMME TELL YA.\r\n\r\nAlso the team I&#039;m trying to gather I would like you to have really open schedules everyday so we can practice a lot. Fyi the teams ages so far is 16 and 15\r\n\r\nIGN -\r\nAge -\r\nRole -\r\nRank -\r\nAccess to discord? -\r\nAvailability (weeks and weekends) -","replies":[{"poster":"RemIsAmazing","date":"2016-07-17T02:45:51.620+0000","up_votes":1,"down_votes":0,"body":"IGN - Malkoto\nAge - 26\nRole - Mid / ADC\nRank - Silver 5\nAccess to discord? - yes\nAvailability (weeks and weekends) - everyday after 5, sundays mondays and wednesdays anytime.","replies":[]},{"poster":"Calym","date":"2016-07-17T00:14:15.286+0000","up_votes":1,"down_votes":0,"body":"IGN - iBeats\nAge - 16\nRole - Mid / Support\nRank - D5\nAccess to discord? - Yes. \nAvailability (weeks and weekends) - Almost everyday except Sunday (10AM - 8PM EST)","replies":[]},{"poster":"Shangdi","date":"2016-07-16T23:55:45.984+0000","up_votes":1,"down_votes":0,"body":"Hey, was wondering if you have any extra positions for analysts? Add me on league if you still do.","replies":[]},{"poster":"Conqker","date":"2016-07-16T23:42:06.028+0000","up_votes":1,"down_votes":0,"body":"IGN - Perfect Fit\nAge - 21\nRole - MID/Jungle\nRank - P5/4\nAccess to discord? - Yes\nAvailability (weeks and weekends) - Open schedule","replies":[]},{"poster":"Nayvee Seel","date":"2016-07-16T23:40:06.549+0000","up_votes":1,"down_votes":0,"body":"IGN - Nayvee Seel\nAge - 16\nRole - Mid\nRank - Platinum 2\nAccess to Discord? - Yes\nAvailability - (weeks and weekends) - On daily for 7+ hours","replies":[]},{"poster":"DOPA CUSH","date":"2016-07-16T23:36:37.206+0000","up_votes":1,"down_votes":0,"body":"IGN - Power6119\nAge - 19 \nRole - Mid\nRank - Gold 4\nAccess to discord? - Yes\n Availability (weeks and weekends) - Daily for 6 hours +","replies":[]},{"poster":"SevenAteNiine","date":"2016-07-16T23:36:17.636+0000","up_votes":1,"down_votes":0,"body":"IGN - xAznClown\nAge - 16\nRole - Mid\nRank - Silver 1\nAccess to discord? - Yes\nAvailability (weeks and weekends) - Daily","replies":[]},{"poster":"AngelShocK","date":"2016-07-16T23:33:38.747+0000","up_votes":1,"down_votes":0,"body":"IGN - AngelShocK\nAge - 20\nRole - ADC\nRank - Silver 1\nAccess to discord? - Yes\nAvailability (weeks and weekends) - I work part time and so my schedule changes every week, I can update you every week when Im available, I usually work mornings but I occasionally get evening shifts. I get my new schedule the Thursday before every new week.","replies":[]}]}
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{"poster":"xIiILuCiFeRIiIx","date":"2015-10-03T20:34:41.160+0000","title":"Paginas de runas 2x1 (Rioters Contesten Porfavor)","subforum":"Charlas Generales","up_votes":1,"down_votes":0,"body":"Estimados, \r\n\r\nMuchos estamos a la espera de la gran oferta de runas y hemos juntado bastante PI (26.000) solo para comprar las anheladas paginas de runas, porfavor algun anuncio sobre el tema para toda la comunidad que estamos esperando :D {{summoner:31}}","replies":[{"poster":"Leonardo DiCapo","date":"2015-10-04T00:25:25.411+0000","up_votes":1,"down_votes":0,"body":"up","replies":[]},{"poster":"IIIØÜØÜØÜØIII","date":"2015-10-03T23:19:47.662+0000","up_votes":1,"down_votes":0,"body":"De vez en cuando ponen ofertas a las que tienes que estar atento, hace poco fue una y me compré 3 páginas (6) deberías ser paciente y seguir juntando, esperar como todos.","replies":[]},{"poster":"Krilin Noda Oro","date":"2015-10-03T21:28:42.221+0000","up_votes":1,"down_votes":0,"body":"Por que son tan ansiosos, la fecha no creo este lejos me atreveria a decir que en noviembre vendria y probablemente junto con el juego temporal.","replies":[]}]}
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{"title":"【ガヴドロ】サターニャ「魔界通販でタイムマシンを買ったわ！」 \t","url":"http://elephant.2chblog.jp/archives/52212468.html","time":"2017-10-28 14:40:07 UTC"}
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{ "directions": [ "Prepare barbecue (medium heat). Sprinkle ribs with salt, pepper and 1/2 teaspoon cumin. Place ribs, meaty side up, on grill. Cover and grill 10 minutes.", "Meanwhile, mix barbecue sauce, cilantro, onion, bourbon, chili powder and remaining 3/4 teaspoon cumin in heavy small saucepan; bring to boil, stirring occasionally. Place saucepan at edge of grill to keep sauce warm.", "Turn ribs meaty side down. Cover and grill until cooked through, about 10 minutes. Turn ribs over again; brush meaty side generously with sauce. Cover and grill ribs until sauce sets thickly, about 3 minutes longer.", "Divide ribs between plates. Serve with remaining sauce." ], "ingredients": [ "1 1 3/4- to 2-pound rack baby back pork ribs, cut into 2-rib sections", "1 1/4 teaspoons ground cumin", "1 cup purchased barbecue sauce", "1/4 cup chopped fresh cilantro", "2 tablespoons minced red onion", "2 tablespoons bourbon", "2 teaspoons chili powder" ], "language": "en-US", "source": "www.epicurious.com", "tags": [ "Picnic", "Quick & Easy", "Backyard BBQ", "Pork Rib", "Summer", "Tailgating", "Family Reunion", "Grill", "Grill/Barbecue" ], "title": "Bourbon Baby Back Ribs", "url": "http://www.epicurious.com/recipes/food/views/bourbon-baby-back-ribs-103505" }
{ "directions": [ "Combine the grapefruit juice and shallot in a small bowl; set aside.", "Score the skin side of the salmon and season all over with salt and pepper.", "Heat 1 tablespoon of the oil in a large nonstick skillet over medium- high heat. Place the salmon skin side down in the skillet. Cook until the skin is browned and crisp, about 5 minutes. Flip the fillets, reduce the heat to medium, and cook until the fish is barely opaque at the center of each fillet, about 4 more minutes. Set aside.", "In a large bowl, whisk together the grapefruit juice\u2013shallot mixture, yogurt, and remaining 1 tablespoon of oil. Add the grapefruit segments, avocado, and cabbage and toss gently to combine; season with salt and pepper. Top the slaw with cilantro and serve alongside the salmon." ], "ingredients": [ "1 large pink grapefruit, cut into supremes, juice reserved", "1 small shallot, finely chopped", "5 (4-ounce) salmon fillets, preferably wild- caught sockeye or king, skin on, pin bones removed", "Fine sea salt and freshly ground black pepper", "2 tablespoons olive oil", "1 tablespoon plain Greek yogurt", "1/2 ripe avocado, cut into 1/2-inch dice", "1/2 medium Savoy cabbage head, cored and very thinly sliced", "1/4 cup fresh cilantro leaves, for serving" ], "language": "en-US", "source": "www.epicurious.com", "tags": [ "HarperCollins", "Dinner", "Fish", "Salmon", "Grapefruit", "Salad", "Quick and Healthy", "Healthy", "Winter", "Avocado", "Cabbage", "Wheat/Gluten-Free" ], "title": "Pan-Roasted Salmon With Grapefruit-Cabbage Slaw", "url": "http://www.epicurious.com/recipes/food/views/pan-roasted-salmon-with-grapefruit-cabbage-slaw" }
{"title":"Congo Norvell - The Dope, The Lies, The Vaseline (1996)","uid":5481847,"size":96781955,"categoryP":"audio","categoryS":"music","magnet":"?xt=urn:btih:615c34e01e4bb79ae16017dfdbe0f2ffca518b47&amp;dn=Congo+Norvell+-+The+Dope%2C+The+Lies%2C+The+Vaseline+%281996%29&amp;tr=udp%3A%2F%2Ftracker.openbittorrent.com%3A80&amp;tr=udp%3A%2F%2Fopen.demonii.com%3A1337&amp;tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&amp;tr=udp%3A%2F%2Fexodus.desync.com%3A6969","seeders":0,"leechers":1,"uploader":"artpepper","files":-1,"time":1270478720,"description":"Congo Norvell - The Dope, The Lies, The Vaseline (1996)\n\n\n\n“A player of stunning force and imagination&quot; - Robert Palmer, The New York Times\n\n&quot;The songwriting of Kid Congo Powers and Jeffrey Lee Pierce has the freshest white take on the blues of it's time.&quot; - Jack White\n\n&quot; Screw James Brown. The title of Hardest Working Man in Show Business truly belongs to Kid Congo Powers.&quot; - Kurt B. Reighley, Seattle Weekly\n\n\n\nThe gigantic tone of Kid Congo Powers’ open-tuned guitar is one of the more readily identifiable sounds in the history of underground rock. Best known for his contribution to the development of the contemporary ambient, noise, and rock guitar with The Gun Club, The Cramps, and Nick Cave and the Bad Seeds in the 1980s, Kid’s spent the last fifteen years as a sideman (Make-Up, Mark Eitzel, Angels of Light, etc.), as a partner in Congo Norvell and Kid and Khan, a member of garage rock supergroup Knoxville Girls, and, most recently, the leader of Kid Congo Powers and the Pink Monkey Birds. \n\nWhat’s important about Kid’s resume isn’t only that he played with some of the best bands of all time, but that he did so during their finest hours, from The Cramps’ Psychedelic Jungle to Nick Cave’s Tender Prey to Angels of Light’s How I Loved You, Kid’s always had a knack for being with the right people at the right place at the right time. The last five years however, Kid’s gradually quit relying on his luck and taken matters into his own hands, emerging as a world-class songwriter and a distinctive vocalist.\n\nJump-starting his career when he and Jeffrey Lee Pierce formed The Gun Club in 1979, Kid Congo Powers left the obscure new band in late 1980 when he was offered the universally coveted gig replacing Bryan Gregory in The Cramps. Though Kid was already a Cramp when The Gun Club recorded their classic debut Fire of Love (1981), a number of songs that he helped write and develop appear on the record. Kid wound up in The Cramps throughout the peak of their popularity, leaving the band in 1984.\n\n\nPsychedelic Jungle (1981), Smell of Female (1984), and Bad Music For Bad People (1984), are among Kid’s souvenirs of the era. After rejoining The Gun Club for a 1984 Australian tour, Kid stayed in the picture for their The Las Vegas Story (1984). When the band fell apart the next year, Kid moved to London and played with The Legendary Stardust Cowboy, The Beasts of Bourbon’s Tex Perkins, and his own band, The Fur Bible. \n\nIn 1986 he was invited to join Nick Cave and the Bad Seeds for the Your Funeral, My Trial tour – moving to Berlin and becoming a full-time member until 1990 - appearing in Wim Wenders’ Wings of Desire (1987) and on the albums Tender Prey (1988) and The Good Son (1990). During his German years Kid not only played and recorded with Die Haut, The Butcher Shop, and Barry Adamson, but also embarked upon seven years of constant recording and touring with The Gun Club.\n\nIn 1993, Kid Congo Powers made his final appearances with The Gun Club and Die Haut to devote full-time attention to his own project with actress/chanteuse Sally Norvell - Congo Norvell. After the duo released a string of singles, EPs, compilation tracks, and the success of the LP Music To Remember Him By (1994), Priority signed them to record The Dope, The Lies, The Vaseline (1996) for Priority's 'alternative' label, Basura!.\n\nShortly afterward, the news came out that Priority was closing down the Basura! label, without releasing Congo Norvell's The Dope, The Lies, The Vaseline . Apparently, all that got out were 400 or so promo copies of the album. \n\nAnd because you've all been good boys and girls, Uncle artpepper has a copy just for you. Hope you love this LP as much as I do. Phone someone who broke your heart and play &quot;Cruel&quot; down the line at them and remember, kids: don't forget to turn it up to 11...\n\n\n\n\n1. Husbands (4:17)\n2. You Can Lay with Dogs (5:01)\n3. Wailing Woman (4:40)\n4. The Girl Who Would Be King (4:22)\n5. Summer Nights (3:18)\n6. November (The Ballad of Mark and Travis) (4:21)\n7. Thief (6:12)\n8. Goodbye Song (3:44)\n9. 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