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 |
|---|---|---|---|---|---|
How to tell if someone told a good joke? | You can tell if someone said a good joke if it makes a person laugh or giggle after it was communicated. You can also tell if a good joke was said by an audience reaction to the joke, if they cheer, or if they boo. Booing is a sign the joke was not so good, and cheering is a sign the joke was good. A reaction of sil... | false | null | null | |
What kind of u-boat was the SM U-30 | SM U-30 was one of 329 U-boat submarines serving in the Imperial German Navy in World War I. She engaged in commerce warfare as part of the First Battle of the Atlantic. U-30 is significant for the torpedoing of the US tanker Gulflight on 1 May 1915 20 nautical miles (37 km; 23 mi) west of Scilly. | SM U-30[Note 1] was one of 329 U-boat submarines serving in the Imperial German Navy in World War I. She engaged in commerce warfare as part of the First Battle of the Atlantic. U-30 is significant for the torpedoing of the US tanker Gulflight on 1 May 1915 20 nautical miles (37 km; 23 mi) west of Scilly. | false | null | null |
Who saved Andromeda from the sea monster | Perseus | false | null | null | |
Do the authors' models outperform previous state-of-the-art models that use more complicated architectures? | Yes, they do. | The use of categorical attributes (e.g., user, topic, aspects) in the sentiment analysis community BIBREF0, BIBREF1, BIBREF2 is widespread. Prior to the deep learning era, these information were used as effective categorical features BIBREF3, BIBREF4, BIBREF5, BIBREF6 for the machine learning model. Recent work has use... | false | 343 | null |
The approach was evaluated on only one dataset. It is difficult to draw conclusions on the generality of the approach, right? | We thoroughly tested FOCAL++ on 6 MuJoCo datasets with sparse rewards, all of which are common meta-RL benchmarks and aligned with well-known papers like PEARL [1] and MQL [2], with one additional relabeled dataset for discussion of MDP ambiguity (Figure 5). As some reviewers suggested, we also added more experiments w... | In our experimental setup, an ideal context encoder should capture the generalizable information for task inference, namely the difference between reward/dynamics functions across a distribution of tasks. However, as discussed in Section 1, there are two major challenges that impede conventional COMRL algorithms from l... | false | 509 | null |
Is a life without meaning, a life of pessimism? | The idea of meaninglessness and absurdity of life was widely explored by many scholars, one being Albert Camus.
In accordance with his philosophical theory of absurdism the universe’s irrationality and randomness indicates that it does not posses a specific purpose. Therefore, one should abandon the search for meaning ... | false | null | null | |
Does the authors' system outperform a strong rivaling system by a margin? | Yes, it does. | The current coverage of the political landscape in the press and in social media has led to an unprecedented situation. Like never before, a statement in an interview, a press release, a blog note, or a tweet can spread almost instantaneously and reach the public in no time. This proliferation speed has left little tim... | false | 388 | null |
What is the best food in the world? | Humans love their food, don’t they? Why is that? Well, humans are born in places where there is a local cuisine that they grow up with and love. Eating this food established an association with a comforting experience and this is why most nations claim that the best food is in their country. However, there seems to be ... | false | null | null | |
What kind of language is Shauraseni Prakrit | Shauraseni Prakrit was a Middle Indo-Aryan language and a Dramatic Prakrit. Shauraseni was the chief language used in drama in medieval northern India. Most of the material in this language originates from the 3rd to 10th centuries, though it was probably a spoken vernacular around the 2nd century BCE in the ancient st... | Shauraseni Prakrit (Sanskrit: शौरसेनी प्राकृत, Śaurasenī Prākṛta) was a Middle Indo-Aryan language and a Dramatic Prakrit. Shauraseni was the chief language used in drama in medieval northern India. Most of the material in this language originates from the 3rd to 10th centuries, though it was probably a spoken vernacul... | false | null | null |
How do you treat a dog diarrhea | You can treat a dog diarrhea by letting the dog skip one meal and give ground turkey and rice plus one packet of probiotics to the dog. You can add some veggie if you see improvement. | false | null | null | |
From the passage provided, extract the name of the 37th speaker of the House of Commons of Canada | The 37th and current speaker of the House of Commons is Anthony Rota | The speaker of the House of Commons (French: président de la Chambre des communes) is the presiding officer of the lower house of the Parliament of Canada. A member of Parliament (MP), they are elected at the beginning of each new parliament by fellow MPs. The speaker's role in presiding over Canada's House of Commons ... | false | null | null |
Extract the stages for portfolio optimization from https://en.wikipedia.org/wiki/Portfolio_optimization | - Stage 1 is optimizing weights of asset classes to hold, choose the allocation of equities and bonds
- Stage 2 is optimizing weights of assets within the same asset class, choose the proportions of each stock stickers in the stock portfolio | Portfolio optimization often takes place in two stages: optimizing weights of asset classes to hold, and optimizing weights of assets within the same asset class. An example of the former would be choosing the proportions placed in equities versus bonds, while an example of the latter would be choosing the proportions ... | false | null | null |
Identify which instrument is string or percussion: Lummi stick, Timple | Timple is string, Lummi stick is percussion. | false | null | null | |
What is Human Development Report (HDI) based on? | HDI is based on Life Expectancy, Literacy & Per Capita Income | false | null | null | |
What are artificial neural networks? | Neural networks are computer systems inspired by the biological neural networks that constitute animal brains | Artificial neural networks (ANNs), usually simply called neural networks (NNs) or neural nets, are computing systems inspired by the biological neural networks that constitute animal brains. An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biolo... | false | null | null |
What items do you need to buy in preparation for the arrival of a baby | The arrival of a baby is an exciting time! Here is a list of some items you may want to get before its arrival:
- Crib or bassinet and bedding
- Baby monitor
- Car Seat
- Stroller
- Onesies and appropriate clothing
- Feeding bottles
- First aid kit
- Diapers and related creams and wipes | false | null | null | |
Classify each item as jewelry or clothing: ring, shirt, shorts, socks, necklace, bracelet | Ring: Jewelry
Shirt: Clothing
Shorts: Clothing
Socks: Clothing
Necklace: Jewelry
Bracelet: Jewelry | false | null | null | |
How do you install a wooden fence? | First, you would start by plotting out the line of the fence around your yard. You would want to make sure that you are not imposing on your neighbors yard, so it is always smart to get a survey done by the local government as well. When you are ready to start installing your fence, you would Dig holes using a post dig... | false | null | null | |
Please write a socia media post about why Leo Messi is the best soccer player in the world. | Messi is the best soccer player in the world because he has both the best skills and strongest mentality. His physical strength might not be the greatest in the world but he is able to leverage his body to perform amazing motions and skills on the field. His control of the ball is unmatchable and always give his oppone... | false | null | null | |
Polly, a 51-year-old female, visits your fitness facility. She is dissatisfied with her body and is responding to a series of ads your facility uses to attract people interested in weight loss. What new behaviors and habits could she adopt to optimize weight control? | She can focus on three new behaviors: attitude rewiring, prioritizing consistency, and emotional control. First, she can adopt a new attitude towards health and fitness; instead of thinking of working out as a necessarily hard and unenjoyable task, she can start perceiving her workouts in a positive light. Instead of s... | false | null | null | |
Where is Ivan Trotski from? | Belarus | Ivan Trotski is a Belarusian race walker. | false | null | null |
What is Time magazine? | An American news magazine, based in New York City since March 3,1923, published every week since and every other week since March 2020. Initially it was run by it's co-founder, Henry Luce but since 2018, it has been owned by Salesforce founder Marc Benioff, who publishes it through the company Time USA, LLC. | Time (stylized in all caps) is an American news magazine based in New York City. For nearly a century, it was published weekly, but starting in March 2020 it transitioned to every other week. It was first published in New York City on March 3, 1923, and for many years it was run by its influential co-founder, Henry Luc... | false | null | null |
What are the lesser known Jewish holidays? | Most people know the Jewish holidays of Rosh Hashana, Yom Kippur, and Chanukah. Some of the lesser known Jewish holidays include the following: Sukkot, Shemini Atzeres, Simchat Torah, Tu B'Shvat, Purim, Passover (Pesach), Lag B'Omer, and Shavuot. | false | null | null | |
What's the Moroccan infrastructure ? | Morocco has the best infrastructure in Africa.Morocco is ranked 32 in the world in terms of Roads, 16th in Sea , 45th in Air and 64 in Railways. A High-speed railway system was inaugurated in 2018. It's linking the cities of Tangiers and Casablanca. An extension of the line is already planned.
Morocco has also the lar... | According to the Global Competitiveness Report of 2019, Morocco Ranked 32nd in the world in terms of Roads, 16th in Sea, 45th in Air and 64th in Railways. This gives Morocco the best infrastructure rankings in the African continent.
Modern infrastructure development, such as ports, airports, and rail links, is a top g... | false | null | null |
Give me a bullet list of 6 different types of Christianity | - Catholicism
- Mormonism
- Presbyterian
- Methodist
- Baptist
- Calvinist | false | null | null | |
Explain to me why people decide to go vegan. | Vegans are primarily concerned with animal welfare. Humans do not need to eat animal products to be healthy, so using animals for food is unnecessary. Under capitalism, trillions of animals are raised in horrible conditions each year to be slaughtered to satisfy human taste buds. However, even if an animal is raised in... | false | null | null | |
What was the first name of the city that became Austin, Texas? | The site that became Austin was previously incorporated as Waterloo in 1839. | The first European settlers in the present-day Austin were a group of Spanish friars who arrived from East Texas in July 1730. They established three temporary missions, La Purísima Concepción, San Francisco de los Neches and San José de los Nazonis, on a site by the Colorado River, near Barton Springs. The friars foun... | false | null | null |
Should you buy a new or a used car? | You would firstly need to consider your budget and your appetite to borrow money, before you make a decision to buy a new or a used car. | false | null | null | |
What are the main reasons for the price of a good increasing or decreasing in a capitalist society. | Prices of goods in a capitalist society are continuously set by the levels of supply and demand for goods. Reasons the price of a good may increase include the supply of the good decreasing, the demand for the good increasing, or both. Alternatively, a price of a good may decrease if the supply of the good increases or... | false | null | null | |
Can indoor houseplants live outside? | Houseplants that are considered invasive in your region should never be planted outside. In areas of North America this includes bamboo, some ivies such as English Ivy, snake plants, pothos, monstera, etc. If you’d like to enjoy these potentially invasive plants, do so indoors or in potted outdoor containers. Never dis... | false | null | null | |
What is the boarding process at Southwest Airlines | Southwest Airlines offers a unique boarding process where the passenger is not given a specific seat, they are instead boarded in the order that they checked-in for the flight. Passengers are given the opportunity to upgrade their ticket, either through a loyalty program (Southwest Rewards) or by purchasing an Early B... | false | null | null | |
What should I expect from modern Data and AI Platform? | Improved Business Outcomes
Single repository for traditional and alternative data sources results in quick and easy to locate data and visualize data.
User friendly interface for SQL, Python, R, Java, and Scala users for data cleaning, data enrichment and feature engineering.
Easy to collaborate in data & AI lifecycle ... | false | null | null | |
Which country has the largest population? | China and India seem to be competing for the title of "the country with the largest population". Currently the title is still with China with India expected to overtake soon. Both of these countries have population over 1.4 billion which is roughly 18% of the world population. | false | null | null | |
Why transformer architecture was introduced? | To address these issues of RNN especially LSTM networks that their fundamental sequential computation constraint has restricted their use in the modeling of long-term dependencies in sequential data. | Language modeling is a probabilistic description of language phenomenon. It provides essential context to distinguish words which sound similar and therefore has one of the most useful applications in Natural Language Processing (NLP) especially in downstreaming tasks like Automatic Speech Recognition (ASR). Recurrent ... | false | 145 | null |
Which other unsupervised models are used for comparison? | The answers are shown as follows:
* Sequential (Denoising) Autoencoder
* TF-IDF BOW
* SkipThought
* FastSent
* Siamese C-BOW
* C-BOW
* C-PHRASE
* ParagraphVector
| FLOAT SELECTED: Table 1: Comparison of the performance of different models on different supervised evaluation tasks. An underline indicates the best performance for the dataset. Top 3 performances in each data category are shown in bold. The average is calculated as the average of accuracy for each category (For MSRP, ... | false | null | 1703.02507 |
Is there a World Taekwondo Grand Prix | The World Taekwondo Grand Prix is a taekwondo competition introduced by the World Taekwondo Federation in 2013 to provide a homogeneous system for qualification to the Olympic taekwondo tournament. It consists of four competitions per year in each Olympic weight category event. Olympic events occur at approximately hal... | false | null | null | |
Who made the first individual effort in Yugoslavia? | The first individual effort was made by Vladimir Matkovi´c from the Institute for Telecommunications in Zagreb in 1957 in his PhD thesis on entropy in the Croatian language. | In Yugoslavia, organized effort in machine translation started in 1959, but the first individual effort was made by Vladimir Matković from the Institute for Telecommunications in Zagreb in 1957 in his PhD thesis on entropy in the Croatian language BIBREF10. The main research group in machine translation was formed in 1... | false | 244 | null |
The classis horror the Shining exterior shots were shot at this location: | the Spirit Lake Lodge in Colorado, the Sunriver Resort in Oregon, the TImberline Lodge in Oregon, the Overlook Lodge in Oregon, or the Spirit Lake Lodge in Colorado. | false | null | null | |
What is the performance of proposed model on entire DROP dataset? | The proposed model achieves EM 77,63 and F1 80,73 on the test and EM 76,95 and F1 80,25 on the dev | Table TABREF25 shows the results on DROP's test set, with our model being the best overall as of the time of writing, and not just on multi-span questions.
FLOAT SELECTED: Table 3. Comparing test and development set results of models from the official DROP leaderboard
Table TABREF25 shows the results on DROP's test set... | false | null | 1909.13375 |
Who won highest number of Men's singles Wimbledon titles? | Roger Federer won highest number of Wimbledon titles (8 Titles) | false | null | null | |
What simpler models do they look at? | BiGRUs with attention, ROUGE, Language model, and next sentence prediction | Methods ::: Baselines ::: BiGRU s with attention:
This is very similar to Sum-QE but now $\mathcal {E}$ is a stack of BiGRU s with self-attention BIBREF21, instead of a BERT instance. The final summary representation ($h$) is the sum of the resulting context-aware token embeddings ($h = \sum _i a_i h_i$) weighted by th... | false | null | 1909.00578 |
What is the loudest animal on Earth? | The sperm whale. | false | null | null | |
How many tweets are explored in this paper? | The answers are shown as follows:
* 60,000
| In this study, we limit the sample size to the followers identified as English speakers in the U.S. News Top 200 National Universities. We utilize the Jefferson-Henrique script, a web scraper designed for Twitter to retrieve a total of over 300,000 #MeToo tweets from October 15th, when Alyssa Milano posted the inceptiv... | false | null | 2001.05970 |
From the passage note down the biggest institutional shareholders of Credit Suisse. List the results in comma separated format. | Saudi National Bank, Qatar Investment Authority, BlackRock, Dodge & Cox, Norges Bank, Saudi Olayan Group | Credit Suisse Group AG (French pronunciation: [kʁe.di sɥis], lit. 'Swiss Credit') is a global investment bank and financial services firm founded and based in Switzerland. Headquartered in Zürich, it maintains offices in all major financial centers around the world and provides services in investment banking, private ... | false | null | null |
Based on the text, please give me a brief summary of the history of the DTES neighbourhood in Vancouver | The DTES has transformed from the focal point of Vancouver’s cultural and commercial life at the start of the 20th Century to an impoverished neighbourhood with many socio-economic problems by the 1980s. Since the 1990s, the DTES has been home to a public health emergency due to drug overdoses, HIV infection, a housing... | Around the beginning of the 20th century, the DTES was Vancouver's political, cultural and retail centre. Over several decades, the city centre gradually shifted westwards, and the DTES became a poor neighbourhood, although relatively stable. In the 1980s, the area began a rapid decline due to several factors, includin... | false | null | null |
Is Gillian Anderson an English actress? | No. Gillian Anderson is American. She was born in Chicago, Illinois. However, she spent many years living in England as a child and was able to develop an English accent. She is considered bidialectal and can switch between American and British accents. She currently lives in London. | false | null | null | |
How old do you have to be to get your pilot's license in the United States. | The answer varies based on type of license and type of aircraft. But the most common Private Pilot License for fixed wing aircraft has a minimum age of 17 years. | false | null | null | |
Classify each of the following universities as being in the ACC or SEC: Ole Miss, LSU, FSU, Clemson, UGA, Miami | Ole Miss: SEC
LSU: SEC
FSU: ACC
Clemson: ACC
UGA: SEC
Miami: ACC | false | null | null | |
Why do hindus worship idols? | Religion is man made. History teaches us that Religion was invented to separate humans and create a fear. Religion and Faith are different. Hinduism is not a religion but on the contrary it is a way of life. There is no one leader or master in hinduism like in christianity or islam and it is totally inclusive. Anyone c... | false | null | null | |
Given this paragraph, what key crops were not available in Europe before the colonization of the New World? | Potatoes, tomatoes, corn, beans, squash, chili, cacao, and vanilla were not available in the Old World prior to the European discovery of the Americas | Food historian Lois Ellen Frank calls potatoes, tomatoes, corn, beans, squash, chili, cacao, and vanilla the "magic eight" ingredients that were found and used only in the Americas before 1492 and were taken via the Columbian Exchange back to the Old World, dramatically transforming the cuisine there. According to Fran... | false | null | null |
What do they use transfer learning to do? | To classify patients and healthy speakers in three different languages. | Transfer learning allows to use a neural network trained for one task to be used in another domain. We use transfer learning to classify patients and healthy speakers in three different languages. The CNN architecture described before is used to train a CNN with utterances from one language. Then, the pre-trained model... | false | 383 | null |
Who was the US president during the 9/11 attacks? | President George W. Bush | false | null | null | |
What domains are contained in the polarity classification dataset? | The answers are shown as follows:
* Books
* DVDs
* Electronics
* Kitchen appliances
| Data set. For the cross-domain polarity classification experiments, we use the second version of Multi-Domain Sentiment Dataset BIBREF0 . The data set contains Amazon product reviews of four different domains: Books (B), DVDs (D), Electronics (E) and Kitchen appliances (K). Reviews contain star ratings (from 1 to 5) wh... | false | null | 1811.01734 |
What is the 12 class bilingual text? | Appreciation, Satisfied, Peripheral complaint, Demanded inquiry, Corruption, Lagged response, Unresponsive, Medicine payment, Adverse behavior, Grievance ascribed and Obnoxious/irrelevant | FLOAT SELECTED: Table 1. Description of class label along with distribution of each class (in %) in the acquired dataset
FLOAT SELECTED: Table 1. Description of class label along with distribution of each class (in %) in the acquired dataset | false | null | 1911.13066 |
Classify each of the following as a primary color or a secondary color | blue, yellow, green, red, purple, orange | false | null | null | |
Who is the prime minister of India | The prime minister of India is Narendra Modi who has been in power since 2014. He belongs to the Bharatiya Janata Party (BJP). He is the 14th prime minister of India. | false | null | null | |
Where should I go on vacation? | Well, that depends on your travel budget and how much time you want to spend, and the kind of vacation you like. Here are some recommendations for a vacation by the Time magazine: Dominica, Barcelona (Spain), Torres del Paine National Park (Chile), Ladakh (India), Churchill (Manitoba), Aarhus (Denmark), Roatán (Hondura... | false | null | null | |
What was their perplexity score? | Perplexity score 142.84 on dev and 138.91 on test | FLOAT SELECTED: Table 3. Language Modeling Results (in perplexity).
UTF8gbsn The pointer-generator significantly outperforms the Seq2Seq with attention model by 3.58 BLEU points on the test set as shown in Table TABREF8 . Our language modeling result is given in Table TABREF9 . Based on the empirical result, adding gen... | false | null | 1810.10254 |
Is Morfessor an entirely unsupervised model? | Yes. | The LexVec BIBREF7 model factorizes the PPMI-weighted word-context co-occurrence matrix using stochastic gradient descent.
$$PPMI_{wc} = max(0, \log \frac{M_{wc} \; M_{**}}{ M_{w*} \; M_{*c} })$$ (Eq. 3)
where $M$ is the word-context co-occurrence matrix constructed by sliding a window of fixed size centered over e... | false | 97 | null |
What does the first dataset contain? | The first dataset contains articles from celebrity magazines People, UsWeekly, and E!News. | Our first dataset contains articles from celebrity magazines People, UsWeekly, and E!News. We labeled each article for whether it was reporting on men, women, or neither/unknown. To do this, we first extracted the article's topic tags. Some of these tags referred to people, but others to non-people entities, such as “G... | false | 170 | null |
Which publicly available datasets are used? | The answers are shown as follows:
* BIBREF3
* BIBREF4
* BIBREF9
| In this paper, we use three data sets from the literature to train and evaluate our own classifier. Although all address the category of hateful speech, they used different strategies of labeling the collected data. Table TABREF5 shows the characteristics of the datasets.
Data collected by BIBREF3 , which we term the S... | false | null | 1809.10644 |
What are the author's main contributions? | (i) In order to capture the local context, they are the first to apply LSTM-minus to text summarization. (ii) They test their method on the Pubmed and arXiv datasets and results appear to support their goal of effectively summarizing long documents. (iii) In order to evaluate their approach, they have created oracle la... | Single-document summarization is the task of generating a short summary for a given document. Ideally, the generated summaries should be fluent and coherent, and should faithfully maintain the most important information in the source document. purpleThis is a very challenging task, because it arguably requires an in-de... | false | 31 | null |
Which baselines did they compare? | The answers are shown as follows:
* The baseline model is a deep sequence-to-sequence encoder/decoder model with attention. The encoder is a bidirectional Long-Short Term Memory(LSTM) cell BIBREF14 and the decoder a single LSTM cell with attention mechanism. The attention mechanism is computed as in BIBREF9 and we use ... | The baseline model is a deep sequence-to-sequence encoder/decoder model with attention. The encoder is a bidirectional Long-Short Term Memory(LSTM) cell BIBREF14 and the decoder a single LSTM cell with attention mechanism. The attention mechanism is computed as in BIBREF9 and we use a greedy search for decoding. We tra... | false | null | 1907.05664 |
What was used to evaluate the performance? | The authors used stratified 10-fold cross-validation. | The dataset was thoroughly evaluated, see leitner2019fine for more details. As state of the art models, Conditional Random Fields (CRFs) and bidirectional Long-Short Term Memory Networks (BiLSTMs) were tested with the two variants of annotation. For CRFs, these are: CRF-F (with features), CRF-FG (with features and gaze... | false | 172 | null |
How many series did Dance Mums air? | Two seasons, it was not commissioned for a third series. | Dance Mums with Jennifer Ellison is a British reality television series that made its debut on Lifetime on 20 October 2014. Created by Shiver Productions, it is set in Liverpool, England, at Jelli Studios and follows the early careers of children in dance and show business, as well as the participation of their mothers... | false | null | null |
By how much do they improve the accuracy of inferences over state-of-the-art methods? | ON Event2Mind, the accuracy of proposed method is improved by absolute BLUE 2.9, 10.87, 1.79 for xIntent, xReact and oReact respectively.
On Atomic dataset, the accuracy of proposed method is improved by absolute BLUE 3.95. 4.11, 4.49 for xIntent, xReact and oReact.respectively. | We first compare the perplexity of CWVAE with baseline methods. Perplexity measures the probability of model to regenerate the exact targets, which is particular suitable for evaluating the model performance on one-to-many problem BIBREF20. Further, we employ BLEU score to evaluate the accuracy of generations BIBREF21,... | false | null | 1909.08824 |
Classify these as a synthetic or natural fiber | wool, polyester, cotton, silk, nylon, aramid, jute | false | null | null | |
Are there any highlights in their work? | Yes. The greek version of the spaCy platform was added to the source code and was used for building the models. | This paper proposes a machine learning approach to part-of-speech tagging and named entity recognition for Greek, focusing on the extraction of morphological features and classification of tokens into a small set of classes for named entities. The architecture model that was used is introduced. The greek version of the... | false | 197 | null |
What's an AGI? | AGI (artificial general intelligence) refers to a hypothetical intelligent agent which can understand or learn any intellectual task that human beings or other animals can. It has also been defined as autonomous agents that could surpass human capabilities at the majority of economically valuable work. | An artificial general intelligence (AGI) is a hypothetical intelligent agent which can understand or learn any intellectual task that human beings or other animals can. AGI has also been defined alternatively as autonomous systems that surpass human capabilities at the majority of economically valuable work. Developing... | false | null | null |
Who is the best football team in history? | Liverpool Football Club | false | null | null | |
Identify which instrument is string or percussion: Frame drum, Citole | Citole is string, Frame drum is percussion. | false | null | null | |
How can I drive from South Bay to San Francisco? | To drive from South Bay to San Francisco you will want to take either Interstate 280 or US Route 101. 101 tends to be a more direct drive but also tends to have more traffic congestion through the day. 280 is longer and hillier but tends to have less traffic and has the added bonus of nice scenery. | false | null | null | |
Give me a bulleted list of different ways to get around a city without a car | The following are different ways to get around a city without a car:
1. Walk
2. Take public transportation such as the bus or subway
3. Ride a bike
4. Use Uber
5. Ride a scooter
6. Ask a friend with a car
7. Hitchhike | false | null | null | |
Think of three different colors that mens suits are often | Black, blue, grey | false | null | null | |
Pick a title for the following:
The purpose of coaching is to form a partnership that enables you to draw more consistently on your wisdom, positive energy, and resourcefulness in decision-making, living a full life, and achieving your personal and professional goals by expanding your perspectives, being introspective,... | Personal and Professional Coaching Goals | false | null | null | |
Tell me which of these are NFL teams: Bengals, Pumas, Seahawks, Falcons, Roadrunners, Eagles, Coyotes, Sheep, Bears. | Bengals, Seahawks, Falcons, Eagles, Bears. | false | null | null | |
is customer service a great career | yes | false | null | null | |
What was the The McIntosh County Seat War | The McIntosh County Seat War was a dispute in Oklahoma over the location of the McIntosh County seat that took place between 1907 and 1909. Following a pair of elections that resulted in the town of Checotah being designated as the new county seat, the people of Eufaula refused to hand over the county records.
As a r... | The McIntosh County Seat War was a dispute in Oklahoma over the location of the McIntosh County seat that took place between 1907 and 1909. Following a pair of elections that resulted in the town of Checotah being designated as the new county seat, the people of Eufaula refused to hand over the county records. As a res... | false | null | null |
Do they test their word embeddings on downstream tasks? | Yes. | Outlier Detection. The Outlier Detection task BIBREF0 is to determine which word in a list INLINEFORM0 of INLINEFORM1 words is unrelated to the other INLINEFORM2 which were chosen to be related. For each INLINEFORM3 , one can compute its compactness score INLINEFORM4 , which is the compactness of INLINEFORM5 . INLINEFO... | true | null | 1704.02686 |
Is Vietnamese an isolating language? | Yes. | Vietnamese, like many languages in continental East Asia, is an isolating language and one branch of Mon-Khmer language group. The most basic linguistic unit in Vietnamese is morpheme, similar with syllable or token in English and “hình vị” (phoneme) or “tiếng” (syllable) in Vietnamese. According to the structured rule... | false | 98 | null |
What is motivated by the hope for a better generalization over inflectional variants of the same word form？ | The inclusion of lemmas is motivated by the hope for a better generalization over inflectional variants of the same word form. | Neural machine translation has recently achieved impressive results BIBREF0 , BIBREF1 , while learning from raw, sentence-aligned parallel text and using little in the way of external linguistic information. However, we hypothesize that various levels of linguistic annotation can be valuable for neural machine translat... | false | 360 | null |
Why should we eat organic food? | Organic food doesn't mean you can eat endless amounts of it. It actually doesn't even mean it's healthy for you. It simply means no chemicals and pesticides are sprayed all over the crop. Some crops absorb this worse than others or even pull it up through what exists in the soil. These chemicals can be detrimental to o... | false | null | null | |
I'm putting together an exercise plan that needs to have both cardio and strength exercises, but I want to separate exercises into each category. Running, deadlifts, cycling, pushups, swimming, jump rope, lunges and squats. | Running, cycling, swimming and jump rope are all forms of cardio exercise. Deadlifts, pushups, lunges and squats are forms of strength exercise. | false | null | null | |
What dataset is used for the evaluation of the toolkits? | EVBNews Vietnamese corpus. | This research gathers the results of Vietnamese word segmentation of several methods into one table as show in Table II. It is noted that they are not evaluated on a same corpus. The purpose of the result illustration is to provide an overview of the results of current Vietnamese word segmentation systems based on thei... | false | 98 | null |
How data engineers are different from software engineers? | Data engineers build data systems and databases while software engineers create applications, software, and other products. | false | null | null | |
What are some different things you should bring with you on a day hiking trip? | You should bring water, a snack, sunscreen, hiking boots, a first aid kit and a cellphone | false | null | null | |
Who is Octavia Butler? | Octavia Butler was a black Hugo and Nebula awards winning science fiction author from Pasadena, California. | Octavia Estelle Butler (June 22, 1947 – February 24, 2006) was an American science fiction author and a multiple recipient of the Hugo and Nebula awards. In 1995, Butler became the first science-fiction writer to receive a MacArthur Fellowship. Born in Pasadena, California, Butler was raised by her widowed mother. Extr... | false | null | null |
What was the algorithm initially used to? | It was initially used to detect drugs in a social media corpora as part of the Drugs-Safe project | In this paper, we describe our approach and present the results for our participation in the task 1, i.e. multilingual information extraction, of the CLEF eHealth 2018 challenge BIBREF0 . More precisely, this task consists in automatically coding death certificates using the International Classification of Diseases, 10... | false | 394 | null |
How can the classifier facilitate the annotation task for human annotators? | The answers are shown as follows:
* quality of the classifier predictions is too low to be integrated into the network analysis right away, the classifier drastically facilitates the annotation process for human annotators compared to annotating unfiltered tweets
| In order to get high precision predictions for unlabeled tweets, we choose the probability thresholds for predicting a pro-Russian or pro-Ukrainian tweet such that the classifier would achieve 80% precision on the test splits (recall at this precision level is 23%). Table TABREF38 shows the amount of polarized edges we... | false | null | 1910.01363 |
Where is Smuggler Cove Shell Midden located? | Smuggler Cove shell Midden is located in Oswald West State Park near Neahkahnie Beach in Oregon, United States. | The Smuggler Cove Shell Midden (Smithsonian trinomial: 35TI46) is an archeological site located in Oswald West State Park near Neahkahnie Beach, Oregon, United States. First documented by archeologists in 1976, the midden has been found to contain remains of mussels, barnacles, and chiton to a depth of approximately 30... | false | null | null |
Why zurich is so beautiful | Because of it's lake, The most beautiful place in Zurich | false | null | null | |
Based on this paragraph on Tardigrades when did we first send them to space? | The FOTON-M3 mission in September of 2007 is where Tardigrades were exposed to the hard vacuum of outer space for the first time. | Tardigrades are the first known animal to survive after exposure to outer space. In September 2007, dehydrated tardigrades were taken into low Earth orbit on the FOTON-M3 mission carrying the BIOPAN astrobiology payload. For 10 days, groups of tardigrades, some of them previously dehydrated, some of them not, were expo... | false | null | null |
Are Grizzly bears and Brown bears the same? | Grizzly bears are actually a subspecies of brown bears (Ursus arctos horribilis). The difference is regional: Bears found inland are referred to as "grizzlies", while bears found on the coast are known as brown bears. | false | null | null | |
Tell me about the Qingdao Qianwan Container Terminal | The Qingdao Qianwan Container Terminal is a port of China, located at Qianwan (literally The Front Bay), Qingdao, Shandong province. Qingdao Port ranked 10th in 2008 world's busiest container ports with 10,320 thousands TEU, current projects were expected to raise the capacity to 15,000 thousands or more. | Qingdao Qianwan Container Terminal is a port of China, located at Qianwan (literally The Front Bay), Qingdao, Shandong province. Qingdao Port ranked 10th in 2008 world's busiest container ports with 10,320 thousands TEU, current projects were expected to raise the capacity to 15,000 thousands or more. | false | null | null |
What are the top 3 largest countries by territory? | Russia, Canada and China | false | null | null | |
You are a young citizen of a developing country. Write a letter in less than 150 words to a newspaper, highlighting your concern over incorrect disposal of biomedical waste and to spread awareness of the same. | The Covid19 pandemic has changed the lives of all human beings, and has driven massive consumption of personal protective equipment worldwide. People have adapted to wearing face masks as a 'new normal'. At the same time, the disposal of biomedical waste is a major concern, especially in developing countries with limit... | false | null | null | |
What kind of Toys should be prepare for a new puppy | • Puppy’s teeth can be strong, and they can easily destroy soft
toys. They can also accidentally swallow part of the toys. Do
monitor the puppy when they are playing with toys to
prevent accidental choking.
• As the puppy is teething, they will need bite toys to chew
on.
So prepare the toy for the puppy base on the a... | false | null | null | |
Given this paragraph about triathlon, who founded ironman | Ironman was founded by Judy and John Collins four years after the first known modern day triathlon on Wednesday, September 25th, 1974. | On Wednesday, September 25, 1974, the race started. It began with a run of a 4.8 km (3 mi) loop, followed by biking twice around Fiesta Island for a total of 8.0 km (5 mi). Entrants would then get off the bikes, take their shoes off and run into the water to swim to the mainland. That was followed by running in bare fe... | false | null | null |
What's the role of the prediction layer? | To find out the most possible answer choice. | In this paper, we introduce Query-based Attention CNN(QACNN) for Text Similarity Map, an end-to-end neural network for question answering. This network is composed of compare mechanism, two-staged CNN architecture with attention mechanism, and a prediction layer. First, the compare mechanism compares between the given ... | false | 158 | null |
Which of these are dog and which are birds: Phoenix, Siberian Husky, Alaskan Malamute, Hawk, Border Collie, Labrador, Araucana | Birds: Phoenix, Siberian Husky, Alaskan Malamute, Border Collie, Labrador
Dogs: Siberian Husky, Alaskan Malamute, Border Collie, Labrador | false | null | null |
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