question stringlengths 4 11.7k | answer stringlengths 1 26k | evidence stringlengths 0 37.7k | yes_no bool 2
classes | paper_index int64 0 519 ⌀ | paper_id stringclasses 846
values |
|---|---|---|---|---|---|
What additional techniques could be incorporated to further improve accuracy? | The answers are shown as follows:
* phrase-based word embedding
* Abstract Syntax Tree(AST)
| The main advantage of translating to a programming language is - it has a concrete and strict lexical and grammatical structure which human languages lack. The aim of this paper was to make the text-to-code framework work for general purpose programming language, primarily Python. In later phase, phrase-based word embe... | false | null | 1910.11471 |
How do they filter the datasets in their experiments? | To use efficient regular expressions to delete three kinds of references and NLTK Twitter Tokenizer to ensure proper tokenization of words along with special symbols and emoticons. | This dataset was created by BIBREF8 . The tweets were downloaded from Twitter using #sarcasm as a marker for sarcastic tweets. It is a monolingual English dataset which consists of a balanced distribution of 50,000 sarcastic tweets and 50,000 non-sarcastic tweets.
Since sarcastic tweets are less frequently used BIBREF8... | false | 109 | null |
How spicy is the hottest peppers | The hottest pepper is the ghost pepper with a measure of a million scoville units. | false | null | null | |
Which language is divided into six dialects in the task mentioned in the paper? | The answers are shown as follows:
* Akkadian.
| The focus of the aforementioned language and dialect identification competitions was diatopic variation and thus the data made available in these competitions was synchronic contemporary corpora. In the 2019 edition of the workshop, for the first time, a task including historical languages was organized. The CLI shared... | false | null | 1904.12087 |
What web and user-generated NER datasets are used for the analysis? | MUC, CoNLL, ACE, OntoNotes, MSM, Ritter, UMBC | Since the goal of this study is to compare NER performance on corpora from diverse domains and genres, seven benchmark NER corpora are included, spanning newswire, broadcast conversation, Web content, and social media (see Table 1 for details). These datasets were chosen such that they have been annotated with the same... | false | null | 1701.02877 |
What could you do on a Sunday? | Most people do not work on Sundays, so they are free to pursue leisure activities to relax and recharge. To some people this may mean pursuing a hobby or a sport. Others may see friends or family. Unfortunately, Sundays may not be entirely free of unenjoyable chores such doing the laundry or cleaning the house. | false | null | null | |
Who founded the city of Detroit? | The site that was to become the city of Detroit was established on July 24, 1701, by Antoine de la Mothe Cadillac, a French military leader and trader. | false | null | null | |
I'm going to give you a passage from Marty Essen's book "Cool Creatures, Hot Planet: Exploring the Seven Continents" and want you to answer the following question: Where are western Hermann's tortoises found?
After spending the night at a large chain hotel, Deb and I traveled southeast with tortoises on our mind. Our ... | Western Hermann's tortoises are found in France, in a turtle rehabilitation village, Le Village de Tortues, near Gonfaron. | false | null | null | |
Identify which instrument is string or percussion: Octoban, Socavon | Socavon is string, Octoban is percussion. | false | null | null | |
Given these paragraphs about Multiomics, what is a typical advantage of single-cell multiomics versus bulk analysis? | An advantage of single-cell multiomics in relation to bulk analysis is to mitigate confounding factors derived from cell to cell variation, allowing the uncovering of heterogeneous tissue architectures. | Multiomics, multi-omics, integrative omics, "panomics" or "pan-omics" is a biological analysis approach in which the data sets are multiple "omes", such as the genome, proteome, transcriptome, epigenome, metabolome, and microbiome (i.e., a meta-genome and/or meta-transcriptome, depending upon how it is sequenced); in o... | false | null | null |
Given the following summary of the book "Human Compatible" by Stuart Russell, what is the author's proposal to overcome the limitations of the standard approach for developing AI? | Russell suggests that the AIs should be trained in a way that makes them gradually gain knowledge of what is truly beneficial to humans. AIs developed in this fashion would cooperate with humans while leaving them with a high enough level of autonomy. | Russell begins by asserting that the standard model of AI research, in which the primary definition of success is getting better and better at achieving rigid human-specified goals, is dangerously misguided. Such goals may not actually reflect what human designers intend, such as by failing to take into account any hum... | false | null | null |
What geographic area do Sephardic Jews originate from? | Sephardic Judaism is rooted in the Iberian peninsula | false | null | null | |
Given a reference text about Mikel Artetxe Guezuraga, tell me when he turned professional and what his biggest wins are. | Mikel Artetxe Guezuraga turned professional in 1999 and had the biggest wins of his career in 2006 with a stage win in the Vuelta a Asturias and the sprints classification in the Troféu Joaquim Agostinho. | Mikel Artetxe Guezuraga (born 24 September 1976) is a Spanish former road bicycle racer, who rode professionally between 1999 and 2007 for the Euskaltel–Euskadi, 3 Molinos Resort and Fuerteventura–Canarias teams.
Career
He turned professional in 1999 with Euskaltel–Euskadi, where he stayed for seven seasons. In his ti... | false | null | null |
In the method of Davidson et al., what kind of classifier was used to differentiate hate speech from offensive language? | A classifier that involves naive Bayes, decision trees and SVM. | Simple word-based approaches, if used for blocking the posting of text or blacklisting users, not only fail to identify subtle offensive content, but they also affect the freedom of speech and expression. The word ambiguity problem – that is, a word can have different meanings in different contexts – is mainly responsi... | false | 267 | null |
How do they get the formal languages? | These are well-known formal languages some of which was used in the literature to evaluate the learning capabilities of RNNs. | BIBREF7 investigated the learning capabilities of simple RNNs to process and formalize a context-free grammar containing hierarchical (recursively embedded) dependencies: He observed that distinct parts of the networks were able to learn some complex representations to encode certain grammatical structures and dependen... | false | null | 1811.01001 |
which country that has the most pyramids in the world? | Sudan has more pyramids than any country in the world | false | null | null | |
Why was the model T only produced in black? | Henry Ford produced the model T only in black because the black paint available at the time was the fastest to dry. | false | null | null | |
Do the classifiers based on the MultiCCA embeddings perform very well on the development corpus? | Yes, they do. | The classification accuracy for zero-shot transfer on the test set of our Multilingual Document Classification Corpus are summarized in Table 4 . The classifiers based on the MultiCCA embeddings perform very well on the development corpus (accuracies close or exceeding 90%). The system trained on English also achieves ... | false | 356 | null |
What is the Turkish drink that tastes similar to | Rakı is a drink from Turkey that has similar flavour with Ouzo. | Ouzo is a clear liquid. However, when water or ice is added, ouzo turns a milky-white colour. This is because anethole, the essential oil of anise, is completely soluble in alcohol at approximately 38% ABV and above, but not in water. Diluting the spirit causes it to separate, creating an emulsion whose fine droplets s... | false | null | null |
What is the most popular wine varietal produced in California? | California is best known for its white wine, Chardonnay, and its red wine, Cabernet Sauvignon. | false | null | null | |
What is the size of the dataset? | The answers are shown as follows:
* 1000 conversations composed of 6833 sentences and 88047 tokens
| We had two human annotators who were trained on snippets (i.e., (suspected trolling attempt, responses) pairs) taken from 200 conversations and were allowed to discuss their findings. After this training stage, we asked them to independently label the four aspects for each snippet. We recognize that this limited amount... | false | null | 1612.05310 |
When and where was the first major agitation led by Gandhi, tell me who this agitation was against, which crop led to this agitation and why this agitation happened. | First major agitation was in 1917 in Champaran Bihar state. The agitation was against Anglo-Indian plantation owners. Indigo was the crop that led to this agitation and the reason was the lower fixed price for the Indigo crop. | Gandhi's first major achievement came in 1917 with the Champaran agitation in Bihar. The Champaran agitation pitted the local peasantry against largely Anglo-Indian plantation owners who were backed by the local administration. The peasants were forced to grow indigo (Indigofera sp.), a cash crop for Indigo dye whose d... | false | null | null |
What method does the paper propose? | An approach to integrate large manual lexical resources such as WordNet or EuroVoc into probabilistic topic models, as well as automatically extracted n-grams to improve coherence and informativeness of generated topics. | Currently, probabilistic topic models are important tools for improving automatic text processing including information retrieval, text categorization, summarization, etc. Besides, they can be useful in supporting expert analysis of document collections, news flows, or large volumes of messages in social networks BIBRE... | false | 192 | null |
Extract the ingredients needed to make pasta carbonara. Separate them with a comma. | Eggs, hard cheese, cured pork, black pepper | Carbonara (Italian: [karboˈnaːra]) is a Roman pasta dish made with eggs, hard cheese, cured pork and black pepper. The dish took its modern form and name in the middle of the 20th century.
The cheese is usually Pecorino Romano, Parmigiano-Reggiano, or a combination of the two. Spaghetti is the most common pasta, but f... | false | null | null |
Tell me whether each of these dishes are served cold or hot: pizza, pasta, tiramisu, ice cream, ribs, steak, ceviche | Pizza: Hot
Pasta: Hot
Tiramisu: Cold
Ice Cream: Cold
Ribs: Hot
Steak: Hot
Ceviche: Cold | false | null | null | |
Provide a list of ways musicians can earn income from their music craft. | Paid live music performances
Earning music royalties from your recorded music when it is commercially played, performed or streamed
Getting paid music sync licensing fees for your recorded music to appear in TV, film, or video games
Artist or band merchandise sales
Getting paid to provide voice or instrument lesson... | false | null | null | |
Name some famous rock bands from the San Francisco Bay Area. | Many famous rock bands have come from the San Francisco Bay area. These bands include the Grateful Dead, Journey, The Jefferson Airplane, Metallica, Santana, and Green Day. | false | null | null | |
What is hybrid working? | Hybrid working is a term used for when you split your work time between an office building and from other locations, usually home. It became more widely used during the COVID19 pandemic when talking about where, when and how people work. Other names for Hybrid Working are Activity Based Working or Agile Working. Agile ... | false | null | null | |
What's the largest bird in the world? | Ostrich | false | null | null | |
List some cool places to go visit when you go to Prescott, AZ | 1. Whisky Row, Downtown Prescott
2. Jerome - copper mines
3. Sedona - Natural Waterslides
4. Off-roading
5. Lynx Lake
6. Watson Lake
7. Gold Water Lake
8. Prescott Camp Grounds
9. Mortimer Farms
10. Tim’s Toyota Center | false | null | null | |
Why is Virginia City famous? | Virginia City is a census-designated place (CDP) and the county seat of Storey County, Nevada, and the largest community in the county. The city is a part of the Reno–Sparks Metropolitan Statistical Area.
In 1859, Virginia City developed as a boomtown with the discovery of the Comstock Lode. The Comstock Lode is the f... | Virginia City is a census-designated place (CDP) that is the county seat of Storey County, Nevada, and the largest community in the county. The city is a part of the Reno–Sparks Metropolitan Statistical Area.
Virginia City developed as a boomtown with the 1859 discovery of the Comstock Lode, the first major silver dep... | false | null | null |
Was Michael Flavin wealthy at the time he wrote Benjamin Disraeli? | No, he was deep in debt at the time. | Michael Flavin's Benjamin Disraeli: The Novel as a Political Discourse suggests that Venetia was largely a commercial endeavour for Disraeli, who was deep in debt at the time that he wrote it. | false | null | null |
What is Web3? | Web3 (also known as Web 3.0) is an idea for a new iteration of the World Wide Web which incorporates concepts such as decentralization, blockchain technologies, and token-based economics. Some technologists and journalists have contrasted it with Web 2.0, wherein they say data and content are centralized in a small gro... | false | null | null | |
What are the feature spaces for classifiers defined by? | Task-specific embeddings learned using FastText, Convolutional Neural Networks (CNNs) and Long Short-Term Memory Networks (LSTMs). | With the massive increase in social interactions on online social networks, there has also been an increase of hateful activities that exploit such infrastructure. On Twitter, hateful tweets are those that contain abusive speech targeting individuals (cyber-bullying, a politician, a celebrity, a product) or particular ... | false | 284 | null |
Tell me if the following were originally board or computer games: Scrabble, Monopoly, Doom, Counter Strike, Sorry, Super Mario Bros? | Scrabble, Monopoly, and Sorry were originally board games. Doom, Counter Strike, and Super Mario Bros were originally computer games. | false | null | null | |
What are the top 3 TV shows you have binge watched and why? | Hands down, my favorite series was The Americans. As someone who grew up in the 1980's, I could identify with the clothing and hair styles, the decor, and the dearth of real-time communication options (no internet, no email, no mobile phones, etc.). The limited communication modes is what led to secret information drop... | false | null | null | |
What is one of your favorite color? | My favorite color is purple. Purple is a great color for many reasons. The hue and tone are quite pleasing to the eye. Additionally, purple is complementary to many other colors such as green, yellow, and gray. The color purple is often a color symbolizing richness and celebration, while it is a mature color it is also... | false | null | null | |
Where does Kieran Liam McAnespie come from? | Kieran Liam McAnespie was born in England. | Kieran Liam McAnespie (born 11 September 1979) is a football manager and former player. Capable of playing as a full-back or winger, he appeared in the Scottish Premier League for St Johnstone and Hearts. Born in England, he represented the Scotland U21 national team internationally | false | null | null |
Name the famous place in Italy which was flooded for the 6th time in the last 1200 years. | Saint Mark's Square in Venice | false | null | null | |
Can the proposed approach use multiple classifiers to detect hateful tweets effectively? | Yes. | Table TABREF5 shows the results of various methods on the hate speech detection task. Part A shows results for baseline methods. Parts B and C focus on the proposed methods where part B contains methods using neural networks only, while part C uses average of word embeddings learned by DNNs as features for GBDTs. We ex... | false | 284 | null |
Is the information about sentiments useful for their classification? | No. | We also explored whether a sentiment analyzer can be used as a baseline for identifying the class labels STRENGTH and WEAKNESS. We used an implementation of sentiment analyzer from TextBlob to get a polarity score for each sentence. Table TABREF13 shows the distribution of positive, negative and neutral sentiments acro... | false | 41 | null |
Write a fairly boring short story about making coffee in the morning. | 6:00 AM. My alarm clocks rings and I hit the snooze. Yes, it's been "one of those weeks" and I just don't have the energy to wake up. I fall back asleep and the alarm clock rudely awakens me again at 6:10. I get out of bed and stumble into the kitchen. There is only one elixir that can rouse me from my sleepy state - c... | false | null | null | |
Give me a summary of the paragraph in your own words and it should be short | Recreational drug use refers to using certain drugs for enjoyment or leisure purposes instead of for medicinal reasons. Some common recreational drugs include caffeine, alcohol, nicotine, marijuana, and synthetic drugs like ecstasy. While many countries consider recreational drug use legal, there are still laws surroun... | Recreational drug use is the use of one or more psychoactive drugs to induce an altered state of consciousness either for pleasure or for some other casual purpose or pastime. When a psychoactive drug enters the user's body, it induces an intoxicating effect. Generally, recreational drugs are divided into three categor... | false | null | null |
What are the ten subreddits? | r/DankMemes, r/Imgoingtohellforthis, r/KotakuInAction, r/MensRights, r/MetaCanada, r/MGTOW, r/PussyPass, r/PussyPassDenied, r/The Donald, and r/TumblrInAction. | Reddit: To retrieve high-quality conversational data that would likely include hate speech, we referenced the list of the whiniest most low-key toxic subreddits. Skipping the three subreddits that have been removed, we collect data from ten subreddits: r/DankMemes, r/Imgoingtohellforthis, r/KotakuInAction, r/MensRights... | false | 214 | null |
Did Trump lose the 2020 presidential election? | Yes. Trump lost the 2020 presidential election, but refused to concede defeat. He furthermore urged his supporters to commit insurrection and attack the U.S. Capitol on January 6th 2021. | Trump lost the 2020 presidential election to Joe Biden but refused to concede defeat, falsely claiming widespread electoral fraud and attempting to overturn the results by pressuring government officials, mounting scores of unsuccessful legal challenges, and obstructing the presidential transition. On January 6, 2021, ... | false | null | null |
What are few things that could impact your EV range on long trips | 1) Weather can be a big factor. For days that are extremely hot or cold you'll be running the AC or Heater respectively and that could be a big drain on the battery
2) And this could get unexpectedly get worse if you are stuck in a traffic jam since you are not able to gain much distance while draining battery to AC or... | false | null | null | |
What are some of the best science fiction movies of all time? | There have been a number of well received science fiction movies including classics such "2001: A Space Odyssey", "Star Wars", "Blade Runner", "Alien", "Inception", "The Martian" and "The Matrix". Often the most important factor of what makes a movie great is very dependent on the viewer themselves. Are they interested... | false | null | null | |
Which of the following are noble gases: helium, sodium, neon, oxygen, argon, hydrogen, calcium, magnesium, lithium, boron, krypton, nitrogen, xenon, aluminium, radon. | The noble gases are - helium, neon, argon, krypton, xenon, radon. | false | null | null | |
Where is Danny Brannagan from | Danny Brannagan (born July 4, 1986) is a former professional Canadian football quarterback for the Toronto Argonauts of the Canadian Football League.
Brannagan attended high school at Assumption Catholic Secondary School in Burlington where in his 5th and final year in 2004, he led the Assumption Crusaders to the GHAC... | Danny Brannagan (born July 4, 1986) is a former professional Canadian football quarterback for the Toronto Argonauts of the Canadian Football League.
Early years
Brannagan attended high school at Assumption Catholic Secondary School in Burlington where in his 5th and final year in 2004, he led the Assumption Crusaders... | false | null | null |
Think of things to do in a place with cold winters. Provide answer as a bullet list. | - Build a snowman
- Have a snowball fight
- Go sledding
- Go skiing
- Go skating
- Go snowshoeing | false | null | null | |
What does the author aim to do in future work? | In future work, the authors aim to extend LD2NL to verbalize the languages SWRL and SHACL. | In this paper, we presented LD2NL, a framework for verbalizing SW languages, especially on RDF and OWL while including the SPARQL verbalization provided by SPARQL2NL. Our evaluation with 86 persons revealed that our framework generates NL that can be understood by lay users. While the OWL verbalization was close to NL,... | false | 322 | null |
Which of the following are perfect square roots? Classify them as 'perfect' and 'not perfect' - 1, 23, 4, 6, 9, 10, 42, 112, 81, 100, 55, 16, 32, 25. | 'perfect', 'not perfect', 'perfect', 'not perfect', 'perfect', 'not perfect', 'not perfect', 'not perfect', 'perfect', 'perfect', 'not perfect', 'perfect', 'not perfect', 'perfect'. | false | null | null | |
What is the biggest advantage of their SERA compared to ROUGE? | SERA consistently achieves high correlations with manual scores which shows its effectiveness in evaluation of scientific article summarization. | Evaluation of text summarization approaches have been mostly based on metrics that measure similarities of system generated summaries with a set of human written gold-standard summaries. The most widely used metric in summarization evaluation has been the ROUGE family. ROUGE solely relies on lexical overlaps between th... | false | 80 | null |
What is Fortran? | Fortran is a general-purpose, compiled imperative programming language that is especially suited to numeric computation and scientific computing. | false | null | null | |
What performance does the Entity-GCN get on WIKIHOP? | During testing: 67.6 for single model without coreference, 66.4 for single model with coreference, 71.2 for ensemble of 5 models | FLOAT SELECTED: Table 2: Accuracy of different models on WIKIHOP closed test set and public validation set. Our Entity-GCN outperforms recent prior work without learning any language model to process the input but relying on a pretrained one (ELMo – without fine-tunning it) and applying R-GCN to reason among entities i... | false | null | 1808.09920 |
How many tweats does MMHS150k contains, 150000? | The answers are shown as follows:
* $150,000$ tweets
| Existing hate speech datasets contain only textual data. Moreover, a reference benchmark does not exists. Most of the published datasets are crawled from Twitter and distributed as tweet IDs but, since Twitter removes reported user accounts, an important amount of their hate tweets is no longer accessible. We create a ... | false | null | 1910.03814 |
How is the imbalance problem solved？ | They perform normalisation to prevent the imbalance problem. | In Turkish, there do not exist well-established sentiment lexicons as in English. In this approach, we made use of the TDK (Türk Dil Kurumu - “Turkish Language Institution”) dictionary to obtain word polarities. Although it is not a sentiment lexicon, combining it with domain-specific polarity scores obtained from the ... | false | 111 | null |
What criticism do people make about the death growl vocal technique? | The death growl vocal technique is described as having a harsh tone which is called ugly. | A death growl, or simply growl, is an extended vocal technique usually employed in extreme styles of music, particularly in death metal and other extreme subgenres of heavy metal music. Death growl vocals are sometimes criticized for their "ugliness", but their unintelligibility contributes to death metal's abrasive st... | false | null | null |
How do the authors embed the question? | They use a long short-term memory (LSTM) encoder. | Single-relation factoid questions are the most common form of questions found in search query logs and community question answering websites BIBREF1 , BIBREF2 . A knowledge-base (KB) such as Freebase, DBpedia, or Wikidata can help answer such questions after users reformulate them as queries. For instance, the question... | false | 34 | null |
Which is the best meal delivery service? | It depends on what is important to you. Some people like Blue Apron because the ingredients are from sustainable sources and the recipe cards have pictures and are easy to follow. But some people don't like Blue Apron and other meal delivery services like Hello Fresh, Factor, and Dinnerly, because you only get the ingr... | false | null | null | |
What year was Genghis Khan born? | Genghis Khan was born in the year 1162. | false | null | null | |
Why do they create their own dataset? | Because there are few suitable datasets available. | Datasets. We perform our experiments with two predetermined event categories: cyber security (CyberAttack) and death of politicians (PoliticianDeath). These event categories are chosen as they are representative of important event types that are of interest to many governments and companies. The need to create our own ... | false | 74 | null |
What was most important invention by Humans? | Humans have invented many things and it really depends on each generation what was the most important invention. There are few that come to mind below
1) Fire: Ability to create fire led to significant increase in Humans ability to survive and thrive.
2) Wheel: Ability to create and control wheel led to Humans being ... | false | null | null | |
What is a self-compiled corpus? | The answers are shown as follows:
* restrict the content of each text to the abstract and conclusion of the original work
* considered other parts of the original works such as introduction or discussion sections
* extracted text portions are appropriate for the AV task, each original work was preprocessed manually
* ... | As a first corpus, we compiled INLINEFORM0 that represents a collection of 80 excerpts from scientific works including papers, dissertations, book chapters and technical reports, which we have chosen from the well-known Digital Bibliography & Library Project (DBLP) platform. Overall, the documents were written by 40 re... | false | null | 1906.10551 |
Tell me which of the following are body parts: head, ankle, banana, finger, earlobe, kiwi, toe, car, shoulder, bed | head, ankle, finger, earlobe, toe, shoulder | false | null | null | |
Given this reference text about the career of Charles Henry Bromedge Caldwell, name the ships he commanded after his promotion to the rank of Commander. | Essex
Glaucus
R. R. Cuyler | Charles Henry Bromedge Caldwell was born in Hingham, Massachusetts on February 24, 1823. He entered the navy as midshipman February 27, 1838, and became lieutenant September 4, 1852. He commanded the USS Vandalia in the US Navy's second Fiji expedition, an 1859 punitive expedition against Waya Island warriors who had c... | false | null | null |
What are the existing methods mentioned in the paper? | The answers are shown as follows:
* Chowdhury BIBREF14 and Thomas et al. BIBREF11
* FBK-irst BIBREF10
* Liu et al. BIBREF9
* Sahu et al. BIBREF12
| In DDI extraction task, NLP methods or machine learning approaches are proposed by most of the work. Chowdhury BIBREF14 and Thomas et al. BIBREF11 proposed methods that use linguistic phenomenons and two-stage SVM to classify DDIs. FBK-irst BIBREF10 is a follow-on work which applies kernel method to the existing model ... | false | null | 1705.03261 |
How many feature maps are generated for a given triple? | 3 feature maps for a given tuple | FLOAT SELECTED: Figure 1: Process involved in ConvKB (with the embedding size k = 4, the number of filters τ = 3 and the activation function g = ReLU for illustration purpose).
Our ConvKB uses different filters $\in \mathbb {R}^{1\times 3}$ to generate different feature maps. Let ${\Omega }$ and $\tau $ denote the set ... | false | null | 1712.02121 |
What does the paper investigate? | The impact of discourse representations obtained from an Rhetorical Structure Theory (RST) parser on natural language generation and document classification. | Natural language generation and document classification have been widely conducted using neural sequence models based on the encoder–decoder architecture. The underlying technique relies on the production of a context vector as the document representation, to estimate both tokens in natural language generation and labe... | false | 395 | null |
What is an Italian Greyhound? | Italian greyhounds are small dogs resembling racing greyhounds but are much smaller at around 15 pounds. Italian greyhounds, or “iggys” as they’re affectionately known, are often fit but quite lazy. | false | null | null | |
Do the tweets come from any individual? | Yes. | We collect data by using the Twitter API for saved data, available for public use. For our experiments we collect 3200 tweets filtered by keywords like “fire”, “earthquake”, “theft”, “robbery”, “drunk driving”, “drunk driving accident” etc. Later, we manually label tweets with <emergency>and <non-emergency>labels for c... | true | null | 1610.04377 |
Think up a comma separated list of tropical fruits | Mangos, Pineapples, Coconuts, Papayas, Guavas, Pitayas, Kiwis, Passionfruits, Bananas | false | null | null | |
Based on this paragraph, what was Joe Biden's mother's maiden's name, what city was he born in, how many siblings did he have growing up, and what religion was he as a child? | Based on this paragraph, Joe Biden's mother's maiden name was Finnegan, he was born in the city of Stranton, he had three siblings (a younger sister and two younger brothers), and he was raised as a member of the Catholic church. | Joseph Robinette Biden Jr. was born on November 20, 1942, at St. Mary's Hospital in Scranton, Pennsylvania, to Catherine Eugenia "Jean" Biden (née Finnegan) and Joseph Robinette Biden Sr. The oldest child in a Catholic family, he has a sister, Valerie, and two brothers, Francis and James. Jean was of Irish descent, whi... | false | null | null |
What about the setting of preprocessing materials? | They prepared three incremental levels of document preprocessing for the experimented: raw text, text cleaning through document logical structure detection, and removal of keyphrase sparse sections of the document. | This work is licensed under a Creative Commons Attribution 4.0 International Licence. Licence details: http://creativecommons.org/licenses/by/4.0/
Recent years have seen a surge of interest in automatic keyphrase extraction, thanks to the availability of the SemEval-2010 benchmark dataset BIBREF0 . This dataset is com... | false | 107 | null |
What do they use to pre-train the encoder-decoder attention mechanism? | The denoising auto-encoding (DAE) objective. | The masked language modeling (MLM) BIBREF13 task, also known as the Cloze task BIBREF23, aims at predicting the randomly masked words according to their context. The objective pretrains the bidirectional encoder to obtain contextual representations. Following BIBREF13, we randomly mask 15% of the tokens in a monolingua... | false | 185 | null |
What is a mirepoix? | A mirepoix is rooted in French cooking but used widely across many cuisines. It consists of equal amounts of small, diced carrots, onions, and celery. A mirepoix if often used in soup making as a fundamental component that adds flavor while enhances other flavors. | false | null | null | |
How do they study the model sensitivity for each sentence? | They perturb one randomlychosen word and replace it with all possible perturbations under a given attack type. The resulting set of perturbed sentences is then fed to the word recognizer (whose sensitivity is to be estimated). As described in equation 1, they count the number of unique predictions from the output sent... | To study model sensitivity, for each sentence, we perturb one randomly-chosen word and replace it with all possible perturbations under a given attack type. The resulting set of perturbed sentences is then fed to the word recognizer (whose sensitivity is to be estimated). As described in equation 12 , we count the numb... | false | 103 | null |
What is the best modern motorcycle for a beginning rider? | If you have no or little experience with motorcycles, choosing a good first motorcycle can be challenging. While it is tempting to buy your dream supersport or touring cruiser, your first bike should be one that you can feel confident on so you can quickly master the skills necessary to ride a faster or larger bike mor... | false | null | null | |
Give me a list of some of the famous stock market indices. | 1. MSCI World: It comprises enterprises in developed countries based on market cap.
2. FTSE All World: It comprise of enterprises in both developed and developing economies with larger focus over large cap companies.
3. S&P 500: It is one of the most famous index comprise 500 big enterprises from United States
4. EURO ... | false | null | null | |
Why is the ice smooth during ice hockey games? | The ice hockey smoothing machine was invented in 1940 and is used to keep the ice rink smooth periodically between periods in the game. | false | null | null | |
Give me ideas how I could become more productive. | Here are a few things you can try to become more productive:
1. Limit multitasking: While it may feel more productive, you can easily get distracted and spend more time on those tasks overall. Instead, try to complete one task to a higher standard in less time.
2. Set small goals: Large tasks can feel overwhelming whic... | false | null | null | |
How many episodes in season one of "Game of Thrones" did Brian Kirk direct? | Brian Kirk directed three episodes in the first season of Game of Thrones: Lord Snow, Cripples, Bastards, and Broken Things, and The Wolf and the Lion | false | null | null | |
When was "I'm Just a Singer (In a Rock and Roll Band)" released? | "I'm Just a Singer (In a Rock and Roll Band)" was originally released in 1972 as the final track on the album Seventh Sojourn and was later released as a single in 1973. | "I'm Just a Singer (In a Rock and Roll Band)" is a 1973 hit single by the English progressive rock band the Moody Blues, written by the band's bassist, John Lodge. It was first released in 1972 as the final track on the album Seventh Sojourn and was later released as a single in 1973, with "For My Lady" as its B-side. ... | false | null | null |
What model and classifier are used to classify utterances from PD patients and healthy control subjects? | A Gaussian mixture model (GMMs) and SVMs. | Parkinson's disease (PD) is a neurodegenerative disorder characterized by the progressive loss of dopaminergic neurons in the mid-brain producing several motor and non-motor impairments in the patients BIBREF0. Motor symptoms include among others, bradykinesia, rigidity, resting tremor, micrographia, and different spee... | false | 383 | null |
How do you make wine? | Wine is made from grapes. You first need to harvest or collect the grapes and then take them off the stem. Next you need to crush the grapes and get as much juice out of them as possible. Then you let the grapes ferment for many weeks or months and during the fermentation process alcohol will be released. Then you ... | false | null | null | |
How does one get accepted into a United States federal academy like West Point. | In order to get excepted into a United States Federal Academy, one has to receive a nomination either from a congressman, senator, or president. The process is long and requires patience, but can be rewarding. | false | null | null | |
Which NFL franchise was ripped away from hits hometown and renamed the Baltimore Ravens? | Cleveland Browns | false | null | null | |
What are the advantages and disadvantages of the SummaRuNNer classifier? | They take content, salience, novelty, and position of each sentence into consideration when deciding if a sentence should be included in the extractive summary. Yet, they do not capture any aspect of the topical structure, as they do in this paper. So their approach would arguably suffer when applied to long documents,... | Traditional extractive summarization methods are mostly based on explicit surface features BIBREF10 , relying on graph-based methods BIBREF11 , or on submodular maximization BIBREF12 . Benefiting from the success of neural sequence models in other NLP tasks, chenglapata propose a novel approach to extractive summarizat... | false | 31 | null |
What will be in focus for future work? | The answers are shown as follows:
* 1) investigate errors produced by the end-to-end methods and explore several approaches to correct common errors done in French
* 2) compare the end-to-end methods in a SLU context and evaluate the semantic value of the partially correct produced words
| However, we also showed difference in produced errors for each method and different impact at word-level depending of the approach or units. Thus, future work will focus on analysing the orthographic output of these systems in two ways: 1) investigate errors produced by the end-to-end methods and explore several approa... | false | null | 1910.08502 |
What is the corpus used in the study? | The answers are shown as follows:
* TextGrid Repository
| The Digital Library in the TextGrid Repository represents an extensive collection of German texts in digital form BIBREF3. It was mined from http://zeno.org and covers a time period from the mid 16th century up to the first decades of the 20th century. It contains many important texts that can be considered as part of ... | false | null | 1909.11189 |
Which is a species of fish? Herring or Hearing | Herring | false | null | null | |
What is the contribution of the extrinsic analysis in this paper? | The extrinsic analysis shows the strength or weakness of combining these corpora together for statistical learning. | We present a comprehensive comparison study of the existing corpora for selection-based question answering. Our intrinsic analysis provides a better understanding of the uniqueness or similarity between these corpora. Our extrinsic analysis shows the strength or weakness of combining these corpora together for statisti... | false | 154 | null |
Please give me a comma separated list of the countries that signed the North Atlantic Treaty in April 1949 given the text below | France, United Kingdom, Belgium, Luxembourg , Netherlands, United States, Canada, Portugal, Italy, Norway, Denmark, Iceland | The Treaty of Dunkirk was signed by France and the United Kingdom on 4 March 1947, during the aftermath of World War II and the start of the Cold War, as a Treaty of Alliance and Mutual Assistance in the event of possible attacks by Germany or the Soviet Union. In March 1948, this alliance was expanded in the Treaty of... | false | null | null |
what datasets did they use? | The answers are shown as follows:
* Argus Dataset
* AI2-8grade/CK12 Dataset
* MCTest Dataset
| Argus Dataset
AI2-8grade/CK12 Dataset
We consider this dataset as preliminary since it was not reviewed by a human and many hypotheses are apparently unprovable by the evidence we have gathered (i.e. the theoretical top accuracy is much lower than 1.0). However, we released it to the public and still included it in the... | false | null | 1605.04655 |
What are some common mushrooms used in cooking? | Common mushrooms used in cooking include white button, cremini, portobello, shiitake, oyster, porcini, morel, and enoki. | false | null | null | |
What should I eat when I visit South India ? | South India is known for vegetarian delicacies. Here is a list of some foods that you should try :
1. Masala Dosa
2. Filter Coffee
3. Idly
4. Vada
5. Pongal | false | null | null | |
Why the discriminator can learn to provide more proper rewards as the training proceeds? | Because the loss function forces the discriminator to assign higher rewards to real data than to generated data. | The discriminator INLINEFORM0 aims to distinguish real data and generated data like other GANs. Inspired by Least-Square GAN BIBREF25 , we devise the loss function as follows: DISPLAYFORM0
This loss function forces the discriminator to assign higher rewards to real data than to generated data, so the discriminator can... | false | 114 | null |
Who is responsible for deportation of Ukrainian children to Russia? | President of Russian Federation Vladimir Putin and Maria Lvova-Belova, Russian Commissioner for Children's Rights are directly responsible the unlawful deportation of Ukrainian children to Russia. This crime against humanity along with many other atrocities (like Bucha massacre) has been committed by Russians during th... | On 17 March 2023, the International Criminal Court (ICC) issued arrest warrants for Vladimir Putin, the President of Russia, and Maria Lvova-Belova, Russian Commissioner for Children's Rights, alleging responsibility for the unlawful deportation and transfer of children during the Russian invasion of Ukraine. The warra... | false | null | null |
Are experiments performed with any other pair of languages, how did proposed method perform compared to other models? | No. | We evaluate the proposed transfer learning techniques in two non-English language pairs of WMT 2019 news translation tasks: French$\rightarrow $German and German$\rightarrow $Czech.
We evaluate the proposed transfer learning techniques in two non-English language pairs of WMT 2019 news translation tasks: French$\righta... | true | null | 1909.09524 |
What is the purpose of introducing the concept subspaces in this paper? | Given that words from texts of the same class belong to the same context, it is possible to model word vectors of each text class as word subspaces and efficiently compare them in terms of similarity by using canonical angles between the word subspaces. | Text classification has become an indispensable task due to the rapid growth in the number of texts in digital form available online. It aims to classify different texts, also called documents, into a fixed number of predefined categories, helping to organize data, and making easier for users to find the desired inform... | false | 149 | null |
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