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 method do the authors present in the paper? | A method to effectively apply linked entities in sequence-to-sequence models, called Entity2Topic (E2T). | Text summarization is a task to generate a shorter and concise version of a text while preserving the meaning of the original text. The task can be divided into two subtask based on the approach: extractive and abstractive summarization. Extractive summarization is a task to create summaries by pulling out snippets of ... | false | 69 | null |
Who was the prime minister of Spain when Spain joined NATO? | Spain joined NATO by referendum in 1986. The prime minister of Spain at the time was Felipe Gonzalez. | false | null | null | |
How do you cook sous vide? | By contrast, in conventional high-heat cooking, such as oven roasting or grilling, the food is exposed to heat levels that are much higher than the desired internal cooking temperature, and it must be removed from the high heat prior to reaching the desired cooking temperature. If the food is removed from the heat too ... | Sealing the food in sturdy plastic bags retains juices and aroma that otherwise would be lost in the process. Placing the packaged food in a water bath, with the temperature set at the desired final cooking temperature of the food, prevents overcooking, because the food cannot get hotter than the bath it is in, as in b... | false | null | null |
The following are a mix of english and hindi words. separate them out logically:
your
mujhe
lamp
pyaar
tamanna
tomorrow
perhaps
kyunki
how
your
yaar
shade | English:
tomorrow
how
your
perhaps
lamp
shade
Hindi:
mujhe
kyunki
yaar
tamanna
pyaar | false | null | null | |
Who is the most popular president ever in the USA? | The most popular president ever in the USA is Franklin D. Roosevelt. He was president from 1933 to 1945 and is remembered for his New Deal programs that helped to improve the economy and the lives of Americans during the Great Depression. | false | null | null | |
How much energy is released in a deuterium-tritium fusion reaction? | A Deuterium-Tritium (DT) fusion reaction results in 17.6 MeV of energy, released in the form of a Helium nucleus and a free Neutron. | false | null | null | |
Compared with the available training set, what are the improvements of the method in this paper? | Each method provides significant improvements and a combination of both gives an absolute improvement of 4.3% in F0.5, without requiring any additional annotated data. | Writing errors can occur in many different forms – from relatively simple punctuation and determiner errors, to mistakes including word tense and form, incorrect collocations and erroneous idioms. Automatically identifying all of these errors is a challenging task, especially as the amount of available annotated data i... | false | 81 | null |
Classify the following elements as metal or noble gas: Argon, Iron, Copper, Krypton, Neon, Silver, Thorium, Radon, Helium, Xenon, Erbium, Tin, Protactinium | Argon - Noble Gas
Iron - Metal
Copper - Metal
Krypton - Noble Gas
Neon - Noble Gas
Silver - Metal
Thorium - Metal
Radon - Noble Gas
Helium - Noble Gas
Xenon - Noble Gas
Erbium - Metal
Tin - Metal
Protactinium - Metal | false | null | null | |
What dataset/corpus is this evaluated over? | The answers are shown as follows:
* SST-1
* SST-2
* Subj
* TREC
* Irony
| Stanford Sentiment Treebank Stanford Sentiment Treebank (SST) BIBREF14 . This concerns predicting movie review sentiment. Two datasets are derived from this corpus: (1) SST-1, containing five classes: very negative, negative, neutral, positive, and very positive. (2) SST-2, which has only two classes: negative and posi... | false | null | 1603.00968 |
What is the diversity metric set for? | For observation of how the Part-of-Speech tags are distributed in the question texts, | In this section, we identify various linguistic activities on Quora and propose quantifications of the language usage patterns in this Q&A site. In particular, we show that there exists significant differences in the linguistic structure of the open and the answered questions. Note that most of the measures that we def... | false | 117 | null |
How do they transfer the model? | The answers are shown as follows:
* In the MULT method, two datasets are simultaneously trained, and the weights are tuned based on the inputs which come from both datasets. The hyper-parameter $\lambda \in (0,1)$ is calculated based on a brute-force search or using general global search. This hyper parameter is used t... | Another way to improve this method could be to select the samples which are more relevant to the target dataset. Based on the importance of the similarity between the datasets for transfer learning in the NLP tasks, this paper proposes to use the most relevant samples from the source dataset to train on the target data... | false | null | 1708.02267 |
What was the Battle of Midway? | The Battle of Midway was the turning point of the Pacific Naval Campaign of WW2 and occurred June 4-7, 1942. The US Navy, under Chester Nimitz defeated the Imperial Japanese Navy and sunk 4 of their aircraft carriers. This was a significant setback for the Japanese and marked the first major defeat of the Imperial Ja... | The Battle of Midway was a major naval battle in the Pacific Theater of World War II that took place from 4–7 June 1942, six months after Japan's attack on Pearl Harbor and one month after the Battle of the Coral Sea. The U.S. Navy under Admirals Chester W. Nimitz, Frank J. Fletcher, and Raymond A. Spruance defeated an... | false | null | null |
Extract universities Moret studied at and his year of graduation for each, and put them in a bulleted list. | * École Polytechnique Fédérale de Lausanne (EPFL) (graduated 1975)
* University of Tennessee (graduated 1980) | Moret was born in 1953 in Vevey Switzerland, and did his undergraduate studies at the École Polytechnique Fédérale de Lausanne (EPFL), graduating in 1975. He went on to graduate studies at the University of Tennessee, earning a Ph.D. in 1980. He then joined the faculty of the University of New Mexico, where he remained... | false | null | null |
what were the baselines? | The answers are shown as follows:
* (1) Rank by the number of times a citation is mentioned in the document.
* (2) Rank by the number of times the citation is cited in the literature (citation impact).
* (3) Rank using Google Scholar Related Articles.
* (4) Rank by the TF*IDF weighted cosine similarity.
* (5) Rank usin... | We compare our system to a variety of baselines. (1) Rank by the number of times a citation is mentioned in the document. (2) Rank by the number of times the citation is cited in the literature (citation impact). (3) Rank using Google Scholar Related Articles. (4) Rank by the TF*IDF weighted cosine similarity. (5) Rank... | false | null | 1611.01400 |
What is sarcasm? | A sharp, bitter, or cutting expression or remark; a bitter gibe or taunt. | Sarcasm is defined as “a sharp, bitter, or cutting expression or remark; a bitter gibe or taunt”. As the fields of affective computing and sentiment analysis have gained increasing popularity BIBREF0 , it is a major concern to detect sarcastic, ironic, and metaphoric expressions. Sarcasm, especially, is key for sentime... | false | 109 | null |
What is Solidarity Tax? | The IMF has proposed a Solidarity Tax on the Companies those prospered in Covid crises should pay additional tax to show solidarity with those who were hit hardest by pandemic | false | null | null | |
What are the different phases in systems development life cycle? | There are 7 phases in systems development life cycle. They are system investigation, Analysis, Design, Testing, Training and transition, Operations and maintenance and Evaluation | Systems development life cycle
Article
Talk
Read
Edit
View history
Tools
From Wikipedia, the free encyclopedia
This article is about systems development life cycle. For the IBM's computer communication protocol, see Synchronous Data Link Control.
Model of the software development life cycle, highlighting the mainten... | false | null | null |
From the passage provided, extract the year when iPhones first came with satellite communications. | iPhones first came with satellite communications in 2022 with the release of the iPhone 14 and iPhone 14 Pro. | Apple directly sub-contracts hardware production to external OEM companies, maintaining a high degree of control over the end product. The iPhone contains most of the hardware parts of a typical modern smartphone. Some hardware elements, such as 3D Touch and the Taptic Engine, are unique to the iPhone. The main hardwar... | false | null | null |
What is a genome-wide association study (GWAS)? | In genomics, a genome-wide association study (GWA study, or GWAS), is an observational study of a genome-wide set of genetic variants in different individuals to see if any variant is associated with a trait. GWA studies typically focus on associations between single-nucleotide polymorphisms (SNPs) and traits like majo... | false | null | null | |
Which building is the most higher? | The tallest building in the world, as of my knowledge cutoff of September 2021, is the Burj Khalifa, located in Dubai, United Arab Emirates. The Burj Khalifa stands at a height of 828 meters (2,716 feet) and has 163 floors above ground. It was completed in 2010 and has held the title of the world's tallest building sin... | false | null | null | |
Identify which instrument is string or percussion: Txalaparta, Clavinet | Clavinet is string, Txalaparta is percussion. | false | null | null | |
Write an essay describing why baseball should be considered America's pastime. | Baseball is the oldest professional sport in America. It began in the late 1800s. The sport dates back to to the civil war era, which is where it started to become known as America's pastime. It coincides with a plethora of historical and cultural aspects of life in America. While the game has a vast amount of historic... | false | null | null | |
Extract the different storage configurations available to the iPhone 14 that are mentioned in the text. Put them in a comma separated list. | 128 GB, 256 GB, 512 GB | iPhone 14 and 14 Plus are available in three internal storage configurations: 128, 256, and 512 GB. It has 6 GB of RAM, an increase over the iPhone 13 and 13 mini model's 4 GB of RAM. The iPhone 14 and 14 Plus have the same IP68 rating for dust and water resistance as their predecessors. | false | null | null |
How are multimodal representations combined? | The image feature vectors are mapped into BERT embedding dimensions and treated like a text sequence afterwards. | To investigate whether our BERT-based model can transfer knowledge beyond language, we consider image features as simple visual tokens that can be presented to the model analogously to textual token embeddings. In order to make the $o_j$ vectors (of dimension $2048+4=2052$) comparable to BERT embeddings (of dimension 7... | false | null | 2002.10832 |
What is the essence of utilitarianism? | Utilitarianism evaluates any action in terms of the amount of human happiness delivered as the result of the action. | Utilitarianism is a consequentialist approach to normative ethics that holds morally right actions are those that promote the most human happiness. Jeremy Bentham, who created his version of the theory in 1829, and John Stuart Mill who made his in 1861 are considered the founders of utilitarianism, though the basic con... | false | null | null |
From the passage provided, extract the list of Indian winners of the Academy Awards. Separate them with a comma. | Bhanu Athaiya, Resul Pookutty , A. R. Rahman | At the 30th Academy Awards, Mehboob Khan's 1957 Hindi-language film Mother India was India's first submission for the Academy Award for Best International Feature Film category. It was nominated alongside four other films and lost to the Italian film Nights of Cabiria (1957) by one vote. In 1982, The National Film Deve... | false | null | null |
Why is the proposed method coupled with CapsGCN if the RL module is to tune depth and width of convolutional layers? | CapsGNN extracts multi-scale node features from different convolutional layers and represents the extracted features in the form of capsules. Compared to classic GCN models, CapsGNN has been proven to have better representation ability on graph data. Nevertheless, CapsGNN is sensitive to changes in depth and width just... | Image restoration algorithms aim to recover a high-quality image from a contaminated input image by solving an ill-posed image restoration problem. There are various image restoration tasks depending on the type of corruptions, such as image denoising, demosaicing, single image super-resolution, and image compression a... | false | 409 | null |
How many representative tasks do the authors evaluate DWE on? | Two. | Word embeddings are fixed-length vector representations for words BIBREF0 , BIBREF1 . In recent years, the morphology of words is drawing more and more attention BIBREF2 , especially for Chinese whose writing system is based on logograms.
UTF8gbsn With the gradual exploration of the semantic features of Chinese, schola... | false | 196 | null |
What is the major source of income in Ethiopia and why its important? | Agriculture is the backbone of the economy and the main source of livelihood for the majority of the population. However, traditional agricultural practices have led to soil degradation and deforestation. Farmers in Ethiopia often rely on a few staple crops, such as teff, wheat, and maize, which are grown repeatedly on... | false | null | null | |
What medicine is inside of an EpiPen? | Epinephrine (adrenaline) | false | null | null | |
What is core banking? | Core banking is a banking service provided by a group of networked bank branches where customers may access their bank account and perform basic transactions from any of the member branch offices.
Core banking is often associated with retail banking and many banks treat the retail customers as their core banking custo... | false | null | null | |
Classify each of the following as a new world or old world crop: Potato, Corn, Tomato, Wheat, Oat, Cacao, Apple, Olive | Potato: New World, Corn: New World, Tomato: New World, Wheat: Old World, Oat: Old World, Cacao: New World, Apple: Old World, Olive: Old World | false | null | null | |
Who is the Chinese Li Xueju | Li Xueju born April 1945 is a politician of the People's Republic of China, and the former Minister of Civil Affairs of PRC.
Born in Gongzhuling, Jilin Province, Li joined the Chinese Communist Party in January 1966, and started working in May 1966. In early years, he served in various posts in local commune. In 1975,... | Li Xueju (simplified Chinese: 李学举; traditional Chinese: 李學舉; pinyin: Lǐ Xuéjǔ; born April 1945) is a politician of the People's Republic of China, and the former Minister of Civil Affairs of PRC.
Born in Gongzhuling, Jilin Province, Li joined the Chinese Communist Party in January 1966, and started working in May 1966... | false | null | null |
Which is an imperial or a metric measurement: ton, tonne | ton is imperial, tonne is metric | false | null | null | |
How do the authors model the context? | How the target claim relates to the current segment, to neighboring segments and sentences, and to the debate as a whole, and also how the opponents and the public react to it. | 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 |
Which institute is known as International money laundering watch dog? | Financial Action Task Force (FATF) | false | null | null | |
What do the authors hypothesize due to the source language and the assisting language (English) having different word orders? | The authors hypothesize that it leads to inconsistencies in the con textual representations generated by the encoder for the two languages. | Consider the task of translating from an extremely low-resource language (source) to a target language. The parallel corpus between the two languages if available may be too small to train a NMT model. Similar to existing works BIBREF3 , BIBREF10 , BIBREF12 , we use transfer learning to overcome data sparsity and train... | false | 3 | null |
How can I make the paint color purple from primary colors? | By combining Red and Blue primary colors, you can make purple. | false | null | null | |
Which items on this list are scientific instruments and which are musical instruments: guitar, microscope, drums, petri dish, piano, trumpet, and bunsen burner. | The scientific instruments on this list include the microscope, petri dish and bunsen burner, and the musical instruments are the guitar, drums, piano, and trumpet. | false | null | null | |
give me a list of ways some one can warm up | - go under the covers
- start a fire
- drink a hot beverage
- snuggle up with someone else
- take a dip in a hot spring
- do a few jumping jacks
- put more clothes on
- go in a sauna
- take a trip to a tropical destination
- turn on an electric heater
- turn on the car heater | false | null | null | |
Are the tweets specific to a region? | No. | 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 and labels for classification as stage one... | true | null | 1610.04377 |
What algorithm and embedding dimensions are used to build the task-specific embeddings? | The answers are shown as follows:
* task-specific embedding of the claim together with all the above evidence about it, which comes from the last hidden layer of the NN
| We further use as features the embeddings of the claim, of the best-scoring snippet, and of the best-scoring sentence triplet from a Web page. We calculate these embeddings (i) as the average of the embeddings of the words in the text, and also (ii) using LSTM encodings, which we train for the task as part of a deep ne... | false | null | 1710.00341 |
What learning architecture is proposed in the paper? | A supervised learning architecture for text classification in terms of hateful content. | Social media is a very popular way for people to express their opinions publicly and to interact with others online. In aggregation, social media can provide a reflection of public sentiment on various events. Unfortunately, many users engaging online, either on social media, forums or blogs, will often have the risk o... | false | 267 | null |
What does the FraCaS test suite consist of? | The FraCaS test suite is an NLI data set consisting of 346 inference problems. | The FraCaS test suite is an NLI data set consisting of 346 inference problems. Each problem contains one or more premises followed by one yes/no-question. There is a three way classification: YES, NO or UNK (unknown, see Figure 1 for an example from FraCaS). The FraCaS test suite was later on turned into machine-readab... | false | 377 | null |
Who directed the Game of Thrones season three episode titled "Kissed by Fire"? | Alex Graves directed "Kissed by Fire." He also directed the season three episode "And Now His Watch Is Ended." | false | null | null | |
Prince introduced his iconic symbol on the cover of which single? | 1999. | false | null | null | |
Which of the 10 largest earthquakes was the deadliest? | The 2004 earthquake on Sumatra, Indonesia was the deadliest. It caused a tsunami that killed more than 200,000 people. | Largest Earthquakes ever recorded
The 10 largest magnitudes in recorded history
1. Valdivia, Chile 22 May 1960 (magnitude 9.5)
This earthquake killed 1655 people, injured 3000 and displaced two million. It caused US$550 million damage in Chile, while the tsunami that it spawned caused deaths and damage as far away as H... | false | null | null |
Do they use a neural model for their task? | No. | Figure 1 presents architecture of the WSD system. As one may observe, no human labor is used to learn interpretable sense representations and the corresponding disambiguation models. Instead, these are induced from the input text corpus using the JoBimText approach BIBREF8 implemented using the Apache Spark framework, ... | true | null | 1707.06878 |
Who was charged in August 1902, under the Offences against the Person Act 1861 with incitement to murder? | Denis Kilbride (September 1848 – 24 October 1924) was an Irish nationalist politician, who as member of the Irish Parliamentary Party represented South Kerry (1887–1895), and North Galway (1895–1900) and South Kildare (1903–1918) as a Member of Parliament (MP) in the House of Commons of the United Kingdom of Great Brit... | In August 1902, he was charged under the Offences against the Person Act 1861 with incitement to murder - during the course of a speech against an eviction - of Major-General Devinish Meares. That December, he was found guilty and sentenced to eight months' imprisonment. After the passing of the Evicted Tenants Act, 19... | false | null | null |
Given this paragraph on Macquarie University Real Tennis Club, please tell me how many tennis courts the club had. | Based on this paragraph, it appears that the Macquarie University Real Tennis Club had only one tennis court. | The Macquarie University Real Tennis Club (formerly the Sydney Real Tennis Club) played real tennis at Macquarie University in Sydney, Australia. Its only court closed on 31 December 2005, converted to other athletic uses. However, the university has agreed to provide land for another court as well as A$350,000 toward ... | false | null | null |
what was their baseline comparison? | The answers are shown as follows:
* Support Vector Machine (SVM)
* Logistic Regression (LR)
* Random Forest (RF)
| To compare our neural models with the traditional approaches, we experimented with a number of existing models including: Support Vector Machine (SVM), a discriminative max-margin model; Logistic Regression (LR), a discriminative probabilistic model; and Random Forest (RF), an ensemble model of decision trees. We use t... | false | null | 1608.03902 |
Does Bolivia have a wine scene? | Bolivia and more specifically, Tarija, have a wonderful wine scene that has continued to develop in the shadow of its southern neighbor, Mendoza. The high altitudes and clay soil produce many excellent varietals of grape, of which they are most predominantly known for their, Tannat, a full bodied red wine originating f... | false | null | null | |
Why is the sky blue? | Blue light is scattered in all directions by the tiny molecules of air in Earth's atmosphere. Blue is scattered more than other colors because it travels as shorter, smaller waves. This is why we see a blue sky most of the time. | false | null | null | |
What do feature–based methods rely on? | Feature–based methods rely on set theoretic measures of overlap between features (union and intersection). | Measures of semantic similarity can be classified into three broad categories : path–based, feature–based and information content (IC). Path–based similarity measures use the structure of a taxonomy to measure similarity – concepts positioned close to each other are more similar than those further apart. Feature–based ... | false | 33 | null |
Why practicing sport is important ? | Practicing sport is important for your physical health and mental health. It teaches you to set goals and and how to reach them. You will learn discipline, consistency and regularity. But it's also very important for you physical health because of the endorphins and dopamina it secretes. It regulates your blood pressur... | false | null | null | |
What are the steps I should take to become a data engineer for absolute beginner? | 1. Learn about Database systems and how data is store. (Get to know some history too of early Database Management Systems (DBMS))
2. Learn SQL.
3. Learn tuning and how to write efficient queries
4. Learn Python.
5. Learn a distributed data processing framework like Spark.
6. Do some personal projects. | false | null | null | |
What are the three tasks in the shared task challenge organized as part of the AMIA-2017 Workshop on Social Media Mining for Health Applications? | Task 1 - recognizing whether a tweet is reporting an adverse drug reaction, Task 2 - inferring whether a tweet is reporting the intake of a medication by the tweeter, and Task 3 - mapping a free-text ADR to a standardized MEDDRA term. | 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 |
How many arms does Hapalochlaena lunulata have? | Hapalochlaena lunulata is an octopus, so it must have eight arms. | The greater blue-ringed octopus (Hapalochlaena lunulata) is one of four species of extremely venomous blue-ringed octopuses belonging to the family Octopodidae. This particular species of blue-ringed octopus is known as one of the most toxic marine animals in the world. | false | null | null |
What is binary search ? | Binary search is a search algorithm that finds the position of a target value in a sorted array. It eliminates the half in which the target value cannot lie. It searches the value in the other half. This continues by repeating the middle element to compare to the target value until the target value is found.
Binary se... | In computer science, binary search, also known as half-interval search, logarithmic search, or binary chop, is a search algorithm that finds the position of a target value within a sorted array. Binary search compares the target value to the middle element of the array. If they are not equal, the half in which the targ... | false | null | null |
Think of 5 different ways I can cook a chicken breast without a traditional oven or stove. | Here are 5 ways you could get creative and cook chicken without a stove:
1. Make a small fire and roast the chicken. Be sure to be outdoors!
2. Travel to a location in a desert climate (like Arizona) and place the chicken on the hood of your car on a hot day.
3. Put the chicken in the microwave for a really really long... | false | null | null | |
Is a simple combination of data as effective as more complex kinds of polyglot training? | Yes. | The standard approach to multilingual NLP is to design a single architecture, but tune and train a separate model for each language. While this method allows for customizing the model to the particulars of each language and the available data, it also presents a problem when little data is available: extensive language... | false | 218 | null |
What is one of the key challenges while designing such text analytics (TA) applications? | One of key challenge while designing such text analytics (TA) applications is to identify right set of features. | For an ever increasing spectrum of applications (e.g., medical text analysis, opinion mining, sentiment analysis, social media text analysis, customer intelligence, fraud analytics etc.) mining and analysis of unstructured natural language text data is necessary BIBREF0, BIBREF1, BIBREF2.
One of key challenge while des... | false | 339 | null |
Classify the cities based on whether they are located in Eritrea or Gabon.
Keren, Franceville, Asmara, Port-Gentil, Assab, Libreville | Eritrea - Asmara, Keren, Assab
Gabon - Libreville, Port-Gentil, Franceville | false | null | null | |
What is a trumpet? | A trumpet is horned instrument that is made out of brass. It is used in classical music and it is also very prevalent in jazz. You have trumpets like the piccolo that have a very high sound and a bass trumpet which has a very low sound. Trumpets can be played in a solo or in a group with other instruments. | false | null | null | |
Do the authors analyze whether they can learn to predict which facts are check-worthy with respect to each of the individual media sources? | Yes, they do. | 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 are the Classifier Models in this paper? | They are SVM, MLP, FastText, CNN, BERT and Platforms. | SVM: A linear support vector machine with bag-of-words sentence representations.
MLP: A multi-layer perceptron with USE embeddings BIBREF4 as input.
FastText: A shallow neural network that averages embeddings of n-grams BIBREF5.
CNN: A convolutional neural network with non-static word embeddings initialized with GloVe ... | false | 27 | null |
What approach does the author take to the problem that it is often difficult to access the system with real users? | They used the crowdsourcing platform CrowdFlower (CF) for their data collection. | A perfect data collection scenario for our dataset would use real running dialog system providing general information from the knowledge base to real users. This system could then ask for explanations and answers for questions which it is not able to answer.
However, getting access to systems with real users is usually... | false | 13 | null |
What exactly is a modern Hopfield network? | The reviewer is absolutely right. The explanation of modern Hopfield networks was very superficial to non-existing. We now write in the paper: “Hopfield networks are energy-based, binary associative memories, which popularized artificial neural networks in the 1980s (Hopfield,1982; 1984). Associative memory networks ha... | We briefly review continuous modern Hopfield networks that are used for deep learning architectures.
They are continuous and differentiable, therefore they a work with gradient descent in deep architec_x005f_x0002_tures. They retrieve with one update only, therefore they can be activated like other deep learning layers... | false | 424 | null |
Are the following books fantasy or science fiction: Red Mars, The City We Became, The Three-Body Problem, the Harry Potter series, A Game of Thrones, Dune, The Fifth Season. | These books are science fiction: Red Mars, The Three-Body Problem, and Dune, because they involve space travel and life on other planets. In addition, Red Mars and The Three-Body Problem include discussions of hard science.
These books are fantasy: The City We Became, the Harry Potter series, and A Game of Thrones, b... | false | null | null | |
How do you do meal prep efficiently and make cooking easy? | Doing meal prep efficiently is mainly about getting things prepared before your cooking time and use the right kitchen appliances to free you up. You will want to prepare the ingratiations for multiple meals together. Bulk cutting and seasoning your vegetables and meats first. Put them in containers with the same dimen... | false | null | null | |
How to introduce a new cat to the household if you already have cats? | Confine the new cat to a single room. Make sure the confined cat have access to everything he or she needs, including water, food, bedding, litterbox and toys. Feed your new and existing cats across the closed door, so that the cats can smell each other and associate each other's presence with food and happiness. Use s... | false | null | null | |
Identify which instrument is string or percussion: Bougarabou, Haegeum | Haegeum is string, Bougarabou is percussion. | false | null | null | |
Give me 3 ideas for an instant serotonin boost. | If you want an instant boost of serotonin, try the following things:
1. Work in a few minutes of exercise, even a short walk can help boost your mood.
2. Take yourself out for your favorite treat, whether it's a meal at your favorite restaurant, going to your favorite coffee shop, or picking up your favorite ice crea... | false | null | null | |
How is the corpus normalized? | The answers are shown as follows:
* by replacing zero-width-non-joiner (ZWNJ) BIBREF2 and manually verifying the orthography
| KTC is composed of 31 educational textbooks published from 2011 to 2018 in various topics by the MoE. We received the material from the MoE partly in different versions of Microsoft Word and partly in Adobe InDesign formats. In the first step, we categorized each textbook based on the topics and chapters. As the origin... | false | null | 1909.11467 |
classify each of the following strings as positive or negative: ':)', ':(', 'i love you', 'i do not like you', 'happy', 'sad' | positive: ':)', 'i love you', 'happy'
negative: ':(', 'i do not like you', 'sad' | false | null | null | |
Given this reference text, what sport other than baseball did David Ortiz play growing up, how many children did his parents have, and what age is he today? | David Ortiz played basketball in addition to baseball. His parents had five total children, and today (on April 5, 2023) he is 47 years old. | Ortiz was born on November 18, 1975, in Santo Domingo, Dominican Republic, as the oldest of four children of Enrique (Leo) Ortiz and Ángela Rosa Arias. As a boy, he followed the careers of standout pitcher Ramón Martinez and his younger brother Pedro, attending games whenever he could and building a friendship with Ped... | false | null | null |
How is PIEWi annotated? | The answers are shown as follows:
* [error, correction] pairs
| PlEWi BIBREF20 is an early version of WikEd BIBREF21 error corpus, containing error type annotations allowing us to select only non-word errors for evaluation. Specifically, PlEWi supplied 550,755 [error, correction] pairs, from which 298,715 were unique. The corpus contains data extracted from histories of page versio... | false | null | 1905.10810 |
What are some films produced by Takiko Mizunoe? | Season of the Sun and Crazed Fruit | Takiko Mizunoe (水の江 瀧子, Mizunoe Takiko), born Umeko Miura (三浦 ウメ子, Miura Umeko, 20 February 1915 – 16 November 2009), was a Japanese actress, film producer, and radio and TV presenter. She was born in Otaru, Hokkaido, and began her career by acting in Shochiku's musical theatre troupe. Later she became one of Japan’s f... | false | null | null |
Is the dynamics model learned well? | The MnM dynamics model does train stably and its MSE decreases throughout training. As expected, the MSE of the MnM dynamics model is larger than the MSE of a maximum likelihood model. So, while the MnM dynamics model may not be as accurate as the maximum likelihood model, it may be more useful, as it sometimes results... | With the implementation details described in Appendix C, we found that the MnM dynamics model trained stably, despite resembling a GAN. In Fig. 10, we plot the validation MSE of the MnM model throughout training, observing that it decreases monotonically.****Figure 10: MnM trains stably. Despite resembling a GAN, the M... | false | 495 | null |
Identify the bird from the list: Shrimp, Barnacle goose, Polar Bear | Barnacle goose | false | null | null | |
What is the difference between blanc de noirs and blanc de blancs champagne? | In champagne, three grape varieties are commonly used. Two of these varieties are red grapes, pinot noir and pinot meunier, and the other is a white grape, chardonnay. Blanc de blancs, meaning white of whites, represents a version of champagne that only uses white grapes, while blanc de noirs, meaning white of blacks, ... | false | null | null | |
What is the fourth album from The Tragically Hip? | Day for Night is the Tragically Hip's 4th studio album released in 1994 | Day for Night is the fourth studio album by the Canadian rock band The Tragically Hip. It is named for the film of the same name. | false | null | null |
What statistics on the VIST dataset are reported? | The answers are shown as follows:
* In the overall available data there are 40,071 training, 4,988 validation, and 5,050 usable testing stories.
| We used the Visual storytelling (VIST) dataset comprising of image sequences obtained from Flickr albums and respective annotated descriptions collected through Amazon Mechanical Turk BIBREF1. Each sequence has 5 images with corresponding descriptions that together make up for a story. Furthermore, for each Flickr albu... | false | null | 1909.07863 |
How many hidden layers are there in their acoustic model? | 11 hidden layers. | We adopt a DNN-based acoustic model BIBREF0 with 11 hidden layers and the alignment used to train the model is derived from a HMM-GMM model trained with SAT criterion. In a conventional Gaussian Mixture Model - Hidden Markov Model (GMM-HMM) acoustic model, the state emission log-likelihood of the observation feature ve... | false | 60 | null |
What's the most intuitive way to evaluate the text answer? | To directly compute the Exact Match (EM) and Macro-averaged F1 scores (F1) between the predicted text answer and the ground-truth text answer. | In SQA, each sample is a triple, INLINEFORM0 , where INLINEFORM1 is a question in either spoken or text form, INLINEFORM2 is a multi-sentence spoken-form document, and INLINEFORM3 is the answer in text from. The task of this work is extractive SQA; that means INLINEFORM4 is a word span from the reference transcription ... | false | 46 | null |
What decade is the Great Gatsby set in, and what is the nickname for that time period? | The Great Gatsby is set in the 1920s, known as the Roaring Twenties | false | null | null | |
Extract 3 areas based on the following passage where electronics is widely used. | Electronics is widely used in
1. information processing,
2. telecommunications, and
3. signal processing. | Electronics deals with electrical circuits that involve active electrical components such as vacuum tubes, transistors, diodes, sensors and integrated circuits, and associated passive interconnection technologies. The nonlinear behaviour of active components and their ability to control electron flows makes digital swi... | false | null | null |
In the modified IMP, when using clean labels for training, where is the randomness coming from? How is the expectation defined? | We added more explanation to Section 3.1-”Neural Network as Priors: Two Settings” for a stronger logistic link between the two settings considered in this work, DIP and GAN CS, and a clearer presentation. | In setting i, we use an untrained CNN as the dense model, and solve the DIP optimization (Ulyanov et al., 2018) θ ∗ = arg min θ E(fθ(z); ˜x), x∗ = fθ ∗ (z), (1) where E(; ) denotes the Mean Square Error (MSE), x˜ is the corrupted version of the image x ∈ R 3×H×W , fθ represents the dense model f with initial parameter ... | false | 490 | null |
how to survive on Mars | Surviving on Mars would be a challenging and dangerous endeavor. However, here are some steps that could increase your chances of survival:
Oxygen: Mars' atmosphere is mostly carbon dioxide, so you'll need to find a way to generate oxygen. One way is to use a process called electrolysis to extract oxygen from water.
... | false | null | null | |
What is the average length of the claims? | Average claim length is 8.9 tokens. | FLOAT SELECTED: Table 2: A summary of PERSPECTRUM statistics
We now provide a brief summary of [wave]390P[wave]415e[wave]440r[wave]465s[wave]485p[wave]525e[wave]535c[wave]595t[wave]610r[wave]635u[wave]660m. The dataset contains about INLINEFORM0 claims with a significant length diversity (Table TABREF19 ). Additionally... | false | null | 1906.03538 |
Where did the team collect the dataset in their research? | From Simple English Wikipedia. | We collected a simplified dataset from Simple English Wikipedia that are freely available, which has been previously used for many text simplification methods BIBREF0 , BIBREF10 , BIBREF3 . The simple English Wikipedia is pretty easy to understand than normal English Wikipedia. We downloaded all articles from Simple En... | false | 82 | null |
What is hot pot? | Hot pot is a traditional Chinese dish that you put all kinds of food such as sliced beef/lamp, seafood, vegetables, meatballs into a boiled seasoned soup until they are fully cooked | Hot pot or hotpot (simplified Chinese: 火锅; traditional Chinese: 火鍋; pinyin: huǒguō; lit. 'fire pot'), also known as soup-food or steamboat, is a dish whereby a heat source placed on the dining table keeps a pot of soup stock simmering, and a variety of Chinese foodstuffs and ingredients are served beside the pot for th... | false | null | null |
What approach is most commonly used for the input embedding layer? | Pretrained word embeddings are most commonly used, e.g. GloVe (Pennington et al., 2014) or Word2vec (Mikolov et al., 2013). | Various neural networks have been proposed for sentence pair modeling, all of which fall into two types of approaches. The sentence encoding approach encodes each sentence into a fixed-length vector and then computes sentence similarity directly. The model of this type has advantages in the simplicity of the network de... | false | 55 | null |
Which of the following are exercise equipment: bicycle, book, dumbbell, treadmill, spoon, television | A bicycle, dumbbell, and treadmill are all pieces of exercise equipment. Bicycles can be used to ride around outside or even indoors, they are a great way to improve your cardio health. Dumbbells are often used at a gym but can be used at home, they help to improve muscle mass through strength training. A treadmill is ... | false | null | null | |
Name some of the bravolebrities from Married to Medicine | Anila Sajja, Dr. Contessa Metcalfe, Dr. Heavenly Kimes, Dr. Jacqueline Walters, Dr. Simone Whitmore, Toya Bush-Harris and Quad Webb | false | null | null | |
In what language do multilingual people dream? | This answer really depends on whom you are speaking to. Some multilingual people dream in different languages and this depends on who they are interacting with within their dreams. For example, if in the dream they are talking to their French mother they would reply in French, however when speaking to their English te... | false | null | null | |
What percentage of the world's population did the British Empire hold sway over? | 23 per cent of the world population | The British Empire was composed of the dominions, colonies, protectorates, mandates, and other territories ruled or administered by the United Kingdom and its predecessor states. It began with the overseas possessions and trading posts established by England between the late 16th and early 18th centuries. At its height... | false | null | null |
The following is an Abstract of a paper on Autism Spectrum Disorder. Based on this abstract would it be a good idea to enroll a child with ASD into group sports?
"Given the characteristics of people with Autism Spectrum Disorder, it is evident the difficulties they show in the development of social skills. The scarce... | In this study, the authors assess 13 children with Autism Spectrum Disorder (ASD-Level 1) on their social skills, before and after being enrolled in a football training program. The authors claim that the results showed an overall improvement in participant's social skills.
This suggests that participating in group s... | false | null | null | |
Total # of Documentary in Netflix since 2023 | There are 8 Documentaries on netflix since 2023 | Documentaries
Title Premiere Runtime Language
Mumbai Mafia: Police vs The Underworld January 6, 2023 1 h 27 min English
The Hatchet Wielding Hitchhiker January 10, 2023 1 h 25 min English
Big Mäck: Gangsters and Gold January 20, 2023 1 h 30 min German
Pamela, a Love Story January 31, 2023 1 h 52 min English
Money Shot:... | false | null | null |
What is Taj Mahal? | The Taj Mahal 'Crown of the Palace' is an ivory-white marble mausoleum on the right bank of the river Yamuna in Agra, Uttar Pradesh, India. The Taj Mahal attracts more than 6 million visitors a year and in 2007, it was declared a winner of the New 7 Wonders of the World. | false | null | null |
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