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 are the languages used to test the model? | Hindi, English and German (German task won) | The dataset at HASOC 2019 were given in three languages: Hindi, English, and German. Dataset in Hindi and English had three subtasks each, while German had only two subtasks. We participated in all the tasks provided by the organisers and decided to develop a single model that would be language agnostic. We used the sa... | false | null | 1909.12642 |
What kind of data are the two databases composed of? | One consisting of funny tweets provided by the task organizers, and the other on a freely available research corpus of news data. | Humor is an expression of human uniqueness and intelligence and has drawn attention in diverse areas such as linguistics, psychology, philosophy and computer science. Computational humor draws from all of these fields and is a relatively new area of study. There is some history of systems that are able to generate humo... | false | 262 | null |
What is Chinese Eduction System like? | In China, kids receive 12 years’ basic education, before entering higher education. 12 years’ basic education consistent with 9 years of “compulsory education” and 3 years of high school. The “compulsory education” is paid by the government, at least nominally, and kids are mandated to finish. It is divided into primar... | false | null | null | |
Tell me which one of the following countries are in the European Union: The Netherlands, Switzerland, Germany, Finland, the United Kingdom, Italy, Luxembourg, Turkey, Australia, Vietnam, Canada. | The Netherlands, Germany, Finland, Italy and Luxembourg are in the European Union.
Rest of the countries: Switzerland, the United Kingdom, Turkey, Australia, Vietnam and Canada are not a part of the European Union but might have deals allowing them to benefit from the certain conveniences of the European Union such as... | false | null | null | |
Where is the Willis Tower located? | The Willis Tower, formerly known as the Sears Tower, is located in the city of Chicago. | false | null | null | |
What are 4 good reasons to get solar panels and a powerwall for my house? | The following are 4 good reasons to get solar panels and a powerwall on your house:
1. Solar panels produce electricity to significantly lower utility costs
2. In certain locations, you can sell power back to your utility provider and make additional money off of your solar panels
3. Using solar panels is beneficial fo... | false | null | null | |
What is my Chinese Zodiac sign (animal)? | There are 12 Zodiac animals: rat, ox, tiger, rabbit, dragon, snake, horse, goat, monkey, rooster, dog, and boar. To find it, you can look up the lunar calendar. But the following way is a quick and traditional Chinese way to find it.
Calculate the remainder of (Year of birth - 1900) / 12, and check the remainder wit... | false | null | null | |
Where was Mazzy Star formed? | Mazzy Star was formed in Santa Monica, California in 1988 | "Mazzy Star is an American alternative rock band formed in 1988 in Santa Monica, California, from remnants of the group Opal. Founding member David Roback's friend Hope Sandoval became the group's vocalist when Kendra Smith left Opal.
Mazzy Star is best known for the song ""Fade into You"", which brought the band some... | false | null | null |
What existing corpus is used for comparison in these experiments? | The answers are shown as follows:
* Quora duplicate question dataset BIBREF22
| In order to choose an embedding, we sought a dataset to represent our problem. Although no perfect matches exist, we decided upon the Quora duplicate question dataset BIBREF22 as the best match. To study the embeddings, we computed the euclidean distance between the two questions using various embeddings, to study the ... | false | null | 1907.02030 |
Give me a list of Serie A winners in the last five years with corresponding points. | 2021-2022: AC Milan, 86
2020-2021: Inter, 91
2019-2020: Juventus, 83
2018-2019: Juventus, 90
2017-2018: Juventus, 95 | false | null | null | |
What units are there in RST? | Nuclei and satellites. | In RST, there are tow discursive units: nuclei and satellites. The nucleus provide information pertinent to the purposes of the author of the text and the satellites add additional information to the nucleu, on which they are dependent on. In the context of RST, possible discursive relationships may be nucleus-satellit... | false | 63 | null |
What is a data pipeline? | A data pipeline is a means of moving data from the data source to a destination. Along the way, data is transformed and enriched, arriving in a cleaner, more organized state. As a result, organizations are able to use that data to achieve their intended outcomes. | false | null | null | |
What is a good Science fiction book? | Foundation by Asimov, Isaac | false | null | null | |
Given a reference text about magnetism, tell me the definition of magnetism and how magnetic materials are classified. | Magnetism is defined as the physical attributes that are mediated by a magnetic field, which is the capacity to induce attractive and repulsive forces. Magnetic materials are classified by their bulk susceptibility. | Magnetism is the class of physical attributes that are mediated by a magnetic field, which refers to the capacity to induce attractive and repulsive phenomena in other entities. Electric currents and the magnetic moments of elementary particles giving rise to a magnetic field, which acts on other currents and magnetic ... | false | null | null |
classify the following spending items as either grocery, entertainment, food & drink, travel, bills: caltrain, train, nijiya market, dinner, internet bill, plane, boba, bar | bar should be food & drink, boba should be food & drink, plane should be travel, dinner should be food & drink, nijiya market should be grocery, caltrain should be travel | false | null | null | |
What is longer, 5 pounds or 10 kilograms? | Unfortunately, I can't answer that question. Pounds and kilograms are both units of weight, not of length. | false | null | null | |
What is the inadequacy of the study of Johnson et al.? | They did not further explore the language vectors, which would have been challenging to do given the small number of languages used in their study. | Multilingual language models is not a new idea BIBREF3 , the novelty of our work lies primarily in the use of language vectors and the empirical evaluation using nearly a thousand languages.
Concurrent with this work, Johnson2016zeroshot conducted a study using neural machine translation (NMT), where a sub-word decoder... | false | 203 | null |
What does the proposed approach include? | Data collection, storage, preprocessing, data analysis, and predictive analysis via machine learning. | Knowledge sharing platforms such as Quora and Zhihu emerge as very convenient tools for acquiring knowledge. These question and answer (Q&A) platforms are newly emerged communities about knowledge acquisition, experience sharing and social networks services (SNS).
Unlike many other Q&A platforms, Zhihu platform resembl... | false | 309 | null |
Who is the greatest NFL running back of all time? | Arguably, Barry Sanders is the greatest running back of all time. Unlike Emmitt Smith, Barry Sanders played behind an offensive line that was soft and weak. There were no pro bowl players on the Detroit Lions offensive line during Barry's tenure in Detroit. Barry Sanders also retired at his peak because he was dishe... | false | null | null | |
Do the authors achieve a F1 score of 0.876 with the single model on the test set 1? | Yes, they do. | Results on SKE dataset are presented in Table 1. The baseline model is based on the Google BERT, use hard label embedding and train on only SKE dataset without NER pretraining. As shown in table 1, the F1 score increase from 0.864 to 0.871 when combined with our enhanced BERT. NER pretraining using the extra corpus, so... | false | 306 | null |
Name some of the major battles in the US Civil War. | Major battles in the US Civil War include: Gettysburg, Fort Sumpter, Vicksburg, and Shiloh. | false | null | null | |
Why is the explored area considered an extra modality? | The “explored area” used as input to the Transformer module for the exploration phase helps to keep track of the area visited by the agent in a geometric and explicit way. The ablation studies (see Sec. 5.4 & Tab. 4) empirically show the advantage of this extra modality. | Affordance-aware navigation is a major challenge in solving complex and long-horizon indoor tasks such as ALFRED with both navigation and object interactions. Specifically, given each object of interest in the scene, the agent is required to not only find and approach it but also end up at a pose (x, y, r, h), that is ... | false | 486 | null |
What is EFTPOS? | Electronic funds transfer at point of sale, or EFTPOS, is an electronic payment system involving electronic funds transfers based on the use of payment cards, such as debit or credit cards, at payment terminals located at points of sale. EFTPOS technology was developed during the 1980s. In Australia and New Zealand, it... | false | null | null | |
What is Multicloud? | Multicloud simply refers to deploying workloads to multiple public clouds. Companies may have several motivations for multicloud deployments. SaaS platforms often wish to offer services close to existing customer workloads, which is especially critical for data intensive applications, where network latency and bandwidt... | false | null | null | |
Why do you need family meeting frequently | 1. To make sure you are bonded
2. You know family first
3. Family is always keep you safe | false | null | null | |
What domain is their model targeting? | Visual dialog. | Visual dialog BIBREF0 is an interesting new task combining the research efforts from Computer Vision, Natural Language Processing and Information Retrieval. While BIBREF1 presents some tips and tricks for VQA 2.0 Challenge, we follow their guidelines for the Visual Dialog challenge 2018. Our models use attention simila... | false | 153 | null |
Do they use attention? | Yes. | The NLG model is a seq2seq model with attention as described in section SECREF2. It takes as input a MR and generates a natural language text. The objective is to find the model parameters $\theta ^{nlg}$ such that they minimize the loss which is defined as follows:
The NLG model is a seq2seq model with attention as de... | true | null | 1910.03484 |
How much snow feel in the California Sierra mountains in 2023? | In 2023, California recorded the over 700" of snow, the second heaviest amount ever recorded. | false | null | null | |
Tell me whether these items would be found under the hood of a car or inside a human: engine, transmission, heart, lungs, battery, alternator, blood, wiper fluid, engine oil, kidneys. | The car parts in this list include the engine, transmission, battery, alternator, wiper fluid and engine oil. The human parts include heart, lungs, blood and kidneys. | false | null | null | |
What is the distinction between skiing and backcountry skiing? | Usually skiing is referred to ski on prepared slopes. These are areas in a mountain which have been preselected in a sense that they are relatively save from avalanches, are suitable to build the infrastructure on them and get prepared daily. Backcountry on the other side refers to ski on unprepared terrain in the natu... | false | null | null | |
Why did the population expand in Seattle in the 2000s? | A large job expansion in technology, with Microsoft and Amazon being high wage paying jobs and 10s of thousands of new employees | false | null | null | |
What percentage of Manewra's population work for the government? | 20 percent. 200 / 1000 = 20% | Manewra (Maneora) is a small village in Phalodi tehsil, Jodhpur district, Rajasthan, India. Its population is one thousand.
Most of the people in the village are Bishnoi, subcaste Bhanwal, but in ten houses there are Meghwal, and in one Lohar.
Manewra is situated near Champasar (4 km.), Ajasar (5 km.), Kharia (4 km0,... | false | null | null |
Give me a bulleted list of the seven most recently elected presidents from Argentina. | Sure! Here is the list of the seven most recently elected presidents from Argentina:
- Alberto Fernandez (2019 - Current)
- Mauricio Macri (2015 - 2019)
- Cristina Fernández de Kirchner (2007 - 2015)
- Néstor Kirchner (2003 - 2007)
- Fernando de la Rúa (1999 - 2001) | false | null | null | |
Which company constructed the Japanese submarine Yu 12? | The company that constructed the Japanese submarine Yu 12 was Hitachi Kasado Works. | Yu 12 was an Imperial Japanese Army transport submarine of the Yu 1 subclass of the Yu I type. Constructed for use during the latter stages of World War II, she served in the waters of the Japanese archipelago.
Construction
In the final two years of World War II, the Imperial Japanese Army constructed transport submar... | false | null | null |
What dataset they use for evaluation? | The same 2K set from Gigaword used in BIBREF7 | We validate our approach on the Gigaword corpus, which comprises of a training set of 3.8M article headlines (considered to be the full text) and titles (summaries), along with 200K validation pairs, and we report test performance on the same 2K set used in BIBREF7. Since we want to learn systems from fully unaligned d... | false | null | 1908.08566 |
What causes global warming? | Global warming is caused by the release of greenhouses gases into the atmosphere. Greenhouse gases in the atmosphere trap the heat from the sun and lead to an overall increase in temperature on the planet. Greenhouse gases are mostly produced by burning fossil fuels like coal, oil, and natural gas. Deforestation is als... | false | null | null | |
Classify each of the following as supercar or hypercar: Lamborghini Huracán, Ferrari 488GTB, Aston Martin Vantage, or Bugatti Veryron. | The Lamborghini Huracán is a supercar, the Ferrari 488GTB is a supercar, the Aston Martin Vantage is a supercar, and the Bugatti Veryron is a hypercar. | false | null | null | |
What are the main contributions of this paper? | • Their study demonstrates the necessity and effectiveness of exploiting the intermediate gradients for estimating word importance. • They find that word importance is useful for understanding NMT by identifying undertranslated words. • They provide empirical support for the design principle of NMT architectures: essen... | Neural machine translation (NMT) has achieved the state-of-the-art results on a mass of language pairs with varying structural differences, such as English-French BIBREF0, BIBREF1 and Chinese-English BIBREF2. However, so far not much is known about how and why NMT works, which pose great challenges for debugging NMT mo... | false | 91 | null |
Tell me whether these are names of automobile or motorcycle companies: Ford, Triumph, Indian, Harley Davidson, Rolls Royce, Mercedes, Toyota. | Ford is an automobile company.
Triumph is a motorcycle company.
Indian is a motorcycle company.
Harley Davidson is a motorcycle company.
Rolls Royce is an automobile company.
Mercedes is an automobile company.
Toyota is an automobile company. | false | null | null | |
What field does the paper involve? | Adverse drug reactions. | Adverse drug reactions (ADR)—unwanted or harmful reactions resulting from correct medical drug use—present a significant and costly public health problem. BIBREF0 Detecting, assessing, and preventing these events are the tasks of pharmacovigilance. In the pre-trial and trial stages of drug development, the number of pe... | false | 287 | null |
Why do people like the color green? | It is a neutral color. When people look at something green, it is natural for them to think about trees, grasses, and anything in nature. It is naturally a delightful color and make people feel relaxed. People came from living in the wild millions of years ago. A prosperous season after the rain brings "dead" plants ba... | false | null | null | |
How do you make the best shepherds pie? | There are many ingredients that go into a shepherds pie. Using organic vegetables and meat is a great way to start. You can use either minced beef or lamb but I prefer beef. You will need to brown the meat and then add a shepherds pie seasoning mix. Once mixed add the combination to a baking dish. Next peel the po... | false | null | null | |
What are the key signs of slow development for a 12-month infant? | * Can't sit up from bed
* Can't stand without support
* Can't walk with support
* Haven't grown teeth.
* Really fussy at night.
* Resist solid food or choke on solid food.
* Can't say word like dada, gaga, kaka, baba, mama.
* Don't react to his/her name.
* Don't recognize his/her caregivers.
* Still need to take two na... | false | null | null | |
How large is the dataset for training？ | They collect 50,000 Wikipedia articles according to the number of its hyperlinks as their training data. For efficiency, they trim the articles to the first three paragraphs leading to 1,035,665 mentions in total. | Training We collect 50,000 Wikipedia articles according to the number of its hyperlinks as our training data. For efficiency, we trim the articles to the first three paragraphs leading to 1,035,665 mentions in total. Using CoNLL-Test A as the development set, we evaluate the trained NCEL on the above benchmarks. We set... | false | 101 | null |
What is the difference between alligator and a crocodile | Snout: Alligators have a wider, U-shaped snout, while crocodiles have a pointier, V-shaped snout. Water: Alligators prefer fresh water, while crocs tend to prefer saltwater or brackish water, which is a combination of saltwater and freshwater. | false | null | null | |
Give me a list of items I should bring to the beach this weekend. | Here is a list of items you should bring to the beach this weekend:
1. Bathing Suit
2. Tent
3. Beers
4. Towels
5. Sandals
6. Sand Toys
7. Sand Blanket
8. Cooler | false | null | null | |
What is Barter? | This is a way of paying for things, without using money, by exchanging goods | false | null | null | |
What is Ontology? | In metaphysics, ontology is the philosophical study of being | "In metaphysics, ontology is the philosophical study of being, as well as related concepts such as existence, becoming, and reality.
Ontology addresses questions like how entities are grouped into categories and which of these entities exist on the most fundamental level. Ontologists often try to determine what the ca... | false | null | null |
Which of these foods are likely to cause allergic reactions among humans: milk, peanuts, rice, grapes, wheat, lettuce, mint. | Foods likely to cause allergies: milk, peanuts, wheat. | false | null | null | |
Which is a species of fish? Reedfish or Reed | Reedfish | false | null | null | |
From the passage identify the risk factors of pneumonia. Display the results in a comma separated format. | cystic fibrosis, chronic obstructive pulmonary disease (COPD), sickle cell disease, asthma, diabetes, heart failure, a history of smoking, a poor ability to cough (such as following a stroke), a weak immune system | Pneumonia is an inflammatory condition of the lung primarily affecting the small air sacs known as alveoli. Symptoms typically include some combination of productive or dry cough, chest pain, fever, and difficulty breathing. The severity of the condition is variable.
Pneumonia is usually caused by infection with virus... | false | null | null |
here is a short history of Plainview – Old Bethpage John F. Kennedy High School, which color was changed when the name changed in 1991? | The school colors swapped out green for blue and white stayed the same. | The school was opened in 1966 under the name John F. Kennedy High School. It was Plainview's second high school. Originally, all senior high school students went to Plainview High School, but were split by residential location when JFK High School opened. In 1991, Plainview-Old Bethpage High School and John F. Kennedy ... | false | null | null |
Who won the 2022 NBA Finals MVP? | Stephen Curry | false | null | null | |
What model do they compare the ZAT model with? | Bag-of-Expert (BoE) models and their non-expert counterparts , and the Concept Tagger model. | Recently, there is a surge of excitement in adding numerous new domains to conversational agents such as Alexa, Google Assistant, Cortana and Siri to support a myriad of use cases. However, building a slot tagger, which is a key component for natural language understanding (NLU) BIBREF0 , for a new domain requires mass... | false | 224 | null |
How did they use the domain tags? | The answers are shown as follows:
* Appending the domain tag “<2domain>" to the source sentences of the respective corpora
| The multi domain method is originally motivated by BIBREF14 , which uses tags to control the politeness of NMT translations. The overview of this method is shown in the dotted section in Figure 2 . In this method, we simply concatenate the corpora of multiple domains with two small modifications: a. Appending the domai... | false | null | 1701.03214 |
Kamba Ramayanam was written by | Kamba Ramayanam was written by Kamba Ramanarayanan, a Tamil poet of the late 19th century. The book is an adaptation of the epic Ramayana from the Sanskrit text and focuses on the life of Lord Rama. It includes stories from his childhood and early life, as well as his journey to the Kingdom of Ayodhya and his return af... | false | null | null | |
Do twitter users tend to tweet about the DOS attack when it occurs? How much data supports this assumption? | The dataset contains about 590 tweets about DDos attacks. | In this subsection we discuss the experiment on the attack tweets found in the whole dataset. As stated in section 3.3, the whole dataset was divided into two parts. $D_a$ contained all of the tweets collected on the attack day of the five attacks mentioned in section 4.2. And $D_b$ contained all of the tweets collecte... | false | null | 1909.05890 |
What is Angular? | Angular is a JavaScript based platform for building web and mobile applications. | false | null | null | |
Given this reference text on the creation of centaurs, where did the mythology originate? | A centaur is a creature from Greek mythology according to this paragraph. It can be inferred because numerous Greek gods were referenced in the passage. | The centaurs were usually said to have been born of Ixion and Nephele. As the story goes, Nephele was a cloud made into the likeness of Hera in a plot to trick Ixion into revealing his lust for Hera to Zeus. Ixion seduced Nephele and from that relationship centaurs were created. Another version, however, makes them chi... | false | null | null |
What model does the paper develop? | A sifted multi-task learning model with filtering mechanism to detect fake news by joining stance detection task. | In recent years, the proliferation of fake news with various content, high-speed spreading, and extensive influence has become an increasingly alarming issue. A concrete instance was cited by Time Magazine in 2013 when a false announcement of Barack Obama's injury in a White House explosion “wiped off 130 Billion US Do... | false | 252 | null |
What is the baseline? | The answers are shown as follows:
* random method
* LSTM
| Evaluation metric. Since our problem is imbalanced, we use the F1 score as our evaluation metric. For the tagging approach, we average the labels of words with the same stemmed version to obtain a single prediction for the stemmed word. To establish a baseline, we consider a random method that predicts the positive lab... | false | null | 1911.00523 |
Who has won the most grand slams in men's singles tennis in open era? | Rafael Nadal and Novak Djokovic won 22 times. | The Open Era is the current era of professional tennis. It began in 1968 when the Grand Slam tournaments allowed professional players to compete with amateurs, ending the division that had persisted since the dawn of the sport in the 19th century. The first open tournament was the 1968 British Hard Court Championships ... | false | null | null |
How much F1 was improved after adding skip connections? | Simple Skip improves F1 from 74.34 to 74.81
Transformer Skip improes F1 from 74.34 to 74.95 | Table TABREF20 reports the F1 and EM scores obtained for the experiments on the base model. The first column reports the base BERT baseline scores, while the second reports the results for the C2Q/Q2C attention addition. The two skip columns report scores for the skip connection connecting the BERT embedding layer to t... | false | null | 1912.10435 |
What story does your family always tell about you? | My family loves to tell the story from when I was little. I used to tell everyone that I thought I would own a large white airplane with pink seats. My parents have a video recording of me saying that I love to fly, and that when I am older, I would have a beautiful white airplane. I do not have an airplane, nor is it ... | false | null | null | |
What ability does the architecture gain? | The neural networks's ability to leverage large amounts of data to learn complex features that are tuned for the application at hand. | We present an information extraction architecture that augments a candidate-generating parser with a deep neural network. The candidate-generating parser may leverage constraints. At the same time, the architecture gains the neural networks's ability to leverage large amounts of data to learn complex features that are ... | false | 304 | null |
Please give me a short bulleted list of the top achievements John Wooden had as a coach for the UCLA men's basketball team. | John Wooden had 620 wins with the Bruins, John Wooden led his team to 10 NCAA championships, His teams had four perfect winning seasons and had multiple record-setting winning streaks, John Wooden uplifted the program to be a league leader, He became known at the "Wizard of Westwood" | In the 1948–1949 season, Wooden was hired by the University of California, Los Angeles, to be the fourth basketball coach in the school's history. He succeeded Fred Cozens, Caddy Works, and Wilbur Johns; Johns became the school's athletic director. Wooden signed a three-year contract for $6,000 in the first year. Prior... | false | null | null |
Could you write a poem about a standing desk? | The Standing Desk
Two doors down
Standing in the corner
Looking out the window
Is your desk
Back turned
Wailing at all of us
Wondering why we can’t hear it
Whispering sometimes with secrets for the room
When the door closes, it is particularly loud
Screaming, screaming mad
Angry and lonely
Moaning now for us to f... | false | null | null | |
Why does the model yield poor performance on the test and validation sets? | Because the model can easily overfit the training data. | During training, we find that the model can easily overfit the training data, which yields poor performance on the test and validation sets. To make the model more stable on the unseen data, we apply dropout to the word embeddings, POS embeddings, vectors after the convolutional layers and the stacked recurrent layers.... | false | 310 | null |
What is the largest animal in the world | Blue Whale | false | null | null | |
Apart from sarcasm in text, what other reasons may cause longer fixation duration? | Longer fixations may also be caused by other linguistic subtleties (such as difficult words, ambiguity and syntactically complex structures) causing delay in comprehension, or occulomotor control problems forcing readers to spend time adjusting eye-muscles. | Since sarcasm in text can be expected to induce cognitive load, it is reasonable to believe that it would require more processing time BIBREF14 . Hence, fixation duration normalized over total word count should usually be higher for a sarcastic text than for a non-sarcastic one. We observe this for all participants in ... | false | 163 | null |
What is the main difference among RAML, MaliGAN and the framework in this paper? | The main difference among them is the training objective of their generators. | The most similar works to our framework are RAML BIBREF17 and MaliGAN BIBREF8 . The main difference among them is the training objective of their generators. We have shown different objective functions in Table TABREF26 . For comparison, we use the form with no input for all the three models.
Our model is greatly inspi... | false | 114 | null |
Please share some important points about actress Zendaya using given passage as a reference | 1. Zendaya is born and grown up in Oakland, California.
2. She started her career as a child model and made her television debut as Rocky Blue in Shake It Up (2010–2013) and starred as the titular character in K.C. Undercover (2015–2018), on Disney Channel.
3. Zendaya made her film debut in 2017 with Spider-Man: Homec... | Born and raised in Oakland, California, Zendaya began her career as a child model and backup dancer. She made her television debut as Rocky Blue on the Disney Channel sitcom Shake It Up (2010–2013) and starred as the titular character in the sitcom K.C. Undercover (2015–2018), for the channel. Her feature film debut ca... | false | null | null |
Classify these movies based on their release year
Kedarnath, Bala, Raazi, Kaashi, Article 15 | 2018 - Kedarnath, Raazi, Kaashi
2019 - Bala, Article 15 | false | null | null | |
Does Amazon use doors for desks? | Jeff Bezos initially used doors purchased from the local hardware store and added legs, and door desk was born. He did that because funds were limited, and this was the least expensive way for him to purchase a desk. Today, Amazon still uses wooden doors with four pieces of wood attached for legs. New employees rece... | false | null | null | |
Is their data from Twitter or Facebook? | Twitter. | Change is a universal property of language. For example, English has changed so much that Renaissance-era texts like The Canterbury Tales must now be read in translation. Even contemporary American English continues to change and diversify at a rapid pace—to such an extent that some geographical dialect differences pos... | false | 285 | null |
Tell me whether these are movies or books: Jurassic, Harry Potter and the Philosopher's Stone, Angels and Demons | That is a tricky question to answer because these are both books and movies! I will say that the books mentioned in your question were written before the movies were made. | false | null | null | |
What is the vulnerability of ML models to adversarial attacks? | It is small input perturbations which lead to misclassification by the model. | Recent studies have shown the vulnerability of ML models to adversarial attacks, small perturbations which lead to misclassification of inputs. Adversarial example generation in NLP BIBREF0 is more challenging than in common computer vision tasks BIBREF1, BIBREF2, BIBREF3 due to two main reasons: the discrete nature of... | false | 200 | null |
How do cryptic crosswords work? | Normal crosswords simply give a clue that defines their answer. For example, "Feline - 3 letters" would be answered by "cat". Cryptic crosswords clues have various forms but generally they have part of the clue that is a definition and the rest of the clue that hints at the same definition through coded methods like wo... | false | null | null | |
What are the continents from largest to smallest? | The continents by size, from largest to smallest are: Asia, Africa, North America, South America, Antarctica, Europe, and Australia. | false | null | null | |
Did the Croatian group have a concrete idea for tackling alignment? | Not really. | At this point, we are leaving the historical analysis behind to speculate on what the group might have discovered if they had had access to a computer. First of all, did the Croatian group have a concrete idea for tackling alignment? Not really. However, an approach can be read between the lines of primarily BIBREF16 a... | false | 244 | null |
What are the primary causes of climate change? | The primary physical causes or drivers of climate change are:
- Humans burning fossil fuels
- Greenhouse gases such as carbon dioxide, methane and nitrous oxide
- Aerosols such as sulfur dioxide, organic carbon, black carbon and ammonia | In common usage, climate change describes global warming—the ongoing increase in global average temperature—and its effects on Earth's climate system. Climate change in a broader sense also includes previous long-term changes to Earth's climate. The current rise in global average temperature is more rapid than previous... | false | null | null |
How do they combine MonaLog with BERT? | They use Monalog for data-augmentation to fine-tune BERT on this task | In this work, we introduce a new logical inference engine called MonaLog, which is based on natural logic and work on monotonicity stemming from vanBenthemEssays86. In contrast to the logical approaches cited above, our starting point is different in that we begin with the following two questions: 1) what is the simple... | false | null | 1910.08772 |
Name some characters from the TV show "Friends"? | The main characters on the TV show "Friends" are Rachel Green, Ross Geller, Monica Geller, Chandler Bing, Joey Tribiani, and Phoebe Buffay. Secondary characters include Gunther, manager of Central Perk, Richard, Monica's ex-boyfriend, and Janice, Chandler's ex-girlfriend. There are two main children on the show, Emma ... | false | null | null | |
How strong is the correlation between the prevalence of the #MeToo movement and official reports [of sexual harassment]? | 0.9098 correlation | FLOAT SELECTED: Table 2: Linear regression results.
We examine other features regarding the characteristics of the studied colleges, which might be significant factors of sexual harassment. Four factual attributes pertaining to the 200 colleges are extracted from the U.S. News Statistics, which consists of Undergraduat... | false | null | 2001.05970 |
How many languages do they experiment with? | The answers are shown as follows:
* four different languages: English, Portuguese, Spanish and French
| In this section we detail the discussions we use to test our metric and how we determine the ground truth (i.e. if the discussion is controversial or not). We use thirty different discussions that took place between March 2015 and June 2019, half of them with controversy and half without it. We considered discussions i... | false | null | 2001.09899 |
What does generative text models good at according to the authors? | Encapsulating semantic, syntactic and domain information. | Language models can be optimized to recognize syntax and semantics with great accuracy BIBREF0. However, the output generated can be repetitive and generic leading to monotonous or uninteresting responses (e.g “I don't know”) regardless of the input BIBREF1. While application of attention BIBREF2, BIBREF3 and advanced ... | false | 123 | null |
What do you do when the engine in your single engine airplane fails in flight? | While it is rare every pilot should be prepared in the event. The first step is to stay calm. Remember you need to aviate, navigate and communicate in that order. You should have the planes best glide speed memorized. Next establish that glide speed. Then consult the checklist for engine failure and restart proced... | false | null | null | |
In addition to datasets such as UCI and superconductivity, it would be good to show results on standard datasets such as CIFAR10, CIFAR100, and MNIST by treating one as source and the other one as target? | Please notice that two experiments have been conducted on standard data sets for domain adaptation: Synth vs SVHN [Ganin et al., 2016] (which are digits data sets like MNIST) and Office [Saenko et al., 2010] (which is a data set of real images like CIFAR). | We consider the experiment proposed in where a synthetic digits data set: SYNTH is used to learn a classification task for a data set of real digits pictures: SVHN (Street-View House Number). Both data sets are composed of around 65k images of size 28 × 28.. In both cases, the network is pre-trained on 30 epochs with a... | false | 442 | null |
Tell me whether these are nouns or proper nouns: United States of America, playground, rope, St. Petersburg, Miami, ocean | United States of America: Proper Noun
Playground: Noun
Rope: Noun
St. Petersburg: Proper Noun
Miami: Proper Noun
Ocean: Noun | false | null | null | |
What are some reasons you might be late to a party? | Traffic, leaving work late, having to stop for gas | false | null | null | |
A dialogue between two characters discussing the impact of social media on their lives. Both positive and negative points | Person 1: Hey, what happened? Why are you sad?
Person 2: I'm sad because my grades are low.
Person 1: But you used always study on your iPad... where did you go
wrong?
Person 2: Yeh... I was using my iPad but didn't study…
I was engaging myself in other things.
Person 1: Ohh..! That isn't good. See, my friend, multita... | false | null | null | |
Which model architecture do they use to obtain representations? | The answers are shown as follows:
* BiLSTM with max pooling
| To enable sentence-level classification we need to obtain a sentence representation from the word vectors INLINEFORM0 . We achieved this by using a BiLSTM with max pooling, which was shown to be a good universal sentence encoding mechanism BIBREF13 .
To enable sentence-level classification we need to obtain a sentence ... | false | null | 1904.05584 |
How many slices are in a large pizza? | There are 8 slices of pizza in a large pizza pie. If you double-cut you can get 16 smaller slices. | false | null | null | |
Do I need Hadoop to run Spark? | No, but if you run on a cluster, you will need some form of shared file system (for example, NFS mounted at the same path on each node). If you have this type of filesystem, you can just deploy Spark in standalone mode. | false | null | null | |
Is success important? | Absolutely not. If you what you do (anything that is legal and ethical), then that's what's important. Love the process more and worry less about the result. | false | null | null | |
How are discourse features incorporated into the model? | They derive entity grid with grammatical relations and RST discourse relations and concatenate them with pooling vector for the char-bigrams before feeding to the resulting vector to the softmax layer. | CNN2-PV. This model (Figure FIGREF10 , left+center) featurizes discourse information into a vector of relation probabilities. In order to derive the discourse features, an entity grid is constructed by feeding the document through an NLP pipeline to identify salient entities. Two flavors of discourse features are creat... | false | null | 1709.02271 |
Who is Alexander McGuire? | Alexander McGuire (born 5 October 1932) is a New Zealand cricketer. He played in four first-class matches for Central Districts in 1957/58. | false | null | null | |
How often should I walk my adult dog? | Depending on the age of your dog, you may find that your dog likes to take walks 3-6 times a day. To make sure your adult dog pees and poops regularly during the day, your dog would appreciate a walk at least every 6 hours. Walks usually last around 15 minutes but the longer the walk the better. | false | null | null | |
What kind of method is TF-IDF? | A method of converting text into numbers so that it can be represented meaningfully by a vector. | A valuable source of information in matching user accounts, one used in traditional stylometry tasks, is the way in which people use language. A speaker or writer's choice of words depends on many factors, including the rules of grammar, message content and stylistic considerations. There is a great variety of possible... | false | 369 | null |
Ms. Jefferson, a 47-year-old secretary, has contacted you to assess her body composition. Over the years, she has gradually gained weight because of her sedentary lifestyle and changing metabolism. Besides adopting healthy dietary and exercise habits, how can she build self-esteem and improve her body image? | Mental health plays a big factor in building self-esteem and improving her own body image. Tearing away from negative cycles of thoughts, such as the way she self-describes or visualizes her own body, can be powerful in improving her own self-esteem. For example, a shift from focusing on what her body looks like to wha... | false | null | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.