input stringlengths 1.62k 11.7k | output listlengths 1 1 | id stringlengths 40 40 |
|---|---|---|
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"F-score Kappa"
] | task460-a75850e6200b48c8ac9809e3f1c27c5d |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"LR + Bag-of-words Tweet2vec LR + All Features (tweet-level) LR + All Features (chunk-level) FacTweet (tweet-level) Top-$k$ replies, likes, or re-tweets"
] | task460-d091f9ddd4c34d9b9203693db598cbd7 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Karpathy and Fei-Fei's split for MS-COCO dataset BIBREF10"
] | task460-ab3d5637d30e48aa84d3c8995facc682 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"eight layers"
] | task460-02ddcc889f0d42018f30202cd73665c7 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Direct comparison of model parameters"
] | task460-b302b995d1d340508c833d7cbad6ef84 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"simplified set of input data, in a variety of different formats that occur frequently in a healthcare setting"
] | task460-de52c26197a54125acc2dce57a5d9c47 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"16 different datasets from several popular review corpora used in BIBREF20 CoNLL 2000 BIBREF22"
] | task460-9aaaab40989949bba0557e4f9ce92d7e |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"merging, concatenating, or averaging the entity and its features to compute its embeddings graph embedding approaches matrix factorization to jointly embed KB and textual relations"
] | task460-ad5a184f15a54d509040eddca9cf8af4 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Northeast U.S, South U.S., West U.S. and Midwest U.S."
] | task460-f256a39e3e5e4af99ada4a181b1f2373 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"a simulated binning task in which the robot is tasked to place a cube into a bowl as outlined by the verbal command"
] | task460-de07077716e644038b4d675c07e65444 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Word embeddings trained on GoogleNews and Word embeddings trained on Reddit dataset"
] | task460-f22537301a174accadd3575199aa16ef |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"a type of reasoning based on word replacement, requires the ability to capture the interaction between lexical and syntactic structures"
] | task460-4a35f1936b324018a021790484427775 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"No"
] | task460-89ea33bdb22042d9b82ca2ef4580100b |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"English to French and English to German"
] | task460-7e75be91099f4e688d941f4018dda76e |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"the number of distinct word recognition outputs that an attacker can induce"
] | task460-fed4147ae25541cda52f372791ebb5f5 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"The authors showed few tweets where neither and implicit hatred content exist but the model was able to discriminate"
] | task460-7d8c977f0d5b43999f6ec88822d3a15f |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"IMDb dataset of movie reviews"
] | task460-ca51ad0521d94787b33ed10aef351d31 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"By computing number of unique responses and number of responses divided by the number of unique responses to that question for each of the questions"
] | task460-b92e4b1ca04c4c2fa53ba523a5df9a63 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Soft attention Hard Stochastic attention Local Attention"
] | task460-f211a7e45c4a4f9c8a6e754470c901cb |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
" We first encode text inputs using bidirectional LSTMs, then compute summaries using self-attention and conditional summaries using attention. We concatenate text summaries into text features, which, along with visual features, are processed through consecutive layers. In this case of a textual environment, we con... | task460-37de6dc188694514b14bfe3ba582752e |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Private dashboard is leaderboard where competitors can see results after competition is finished - on hidden part of test set (private test set)."
] | task460-3618c1fef18548eb8c79bc904a90df02 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Answer with content missing: (formulas in selection): Pseudo-perplexity is perplexity where conditional joint probability is approximated."
] | task460-a1027f9f6c494dda959157dab0404013 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Yes"
] | task460-07f59a38e1e14d4eb3cc52c3448c3cf3 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"CoNLL-YAGO TAC2010 ACE2004 AQUAINT WW"
] | task460-fed72f1c79f14d79b5960291df2011a7 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"accuracy and F1-score of 89.6% and 89.2%, respectively"
] | task460-737f6fc997e540bf95127bb4f930d368 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"30,000"
] | task460-4b1f98fcfdce4b04955816ddb25e07da |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"$ f_r(h, t) & = & \\Vert \\textbf {W}_{r,1}\\textbf {h} + \\textbf {r} - \\textbf {W}_{r,2}\\textbf {t}\\Vert _{\\ell _{1/2}} $"
] | task460-3d2cdda392ad4e2d8f96620ea6e45477 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"selection of word vectors"
] | task460-f6f56436ed274925b70d84ecc26310eb |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"WN18, FB15k"
] | task460-0daf998942d644bbb62833e03f0f0f82 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"CNN, TIME, 20 Newsgroups, and Reuters-21578"
] | task460-d32bad7dcc4e4bac90826eceee740bd9 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Yes"
] | task460-c6c962cb5ec94ecaac30c591b0e47fe9 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"if it includes negative utterances, negative generalizations and insults concerning ethnicity, nationality, religion and culture."
] | task460-681a771bb5294d6fa026833d4f4dcedd |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"MH17 Twitter dataset"
] | task460-033b8670ae954044a96a63f5be97456b |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Naïve Bayes (NB) Logistic Regression (LR) Support Vector Machine (SVM) Random Forests (RF) Gradient Boosted Trees (GBT) Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN)"
] | task460-ba6e97ccbe3b4988a3545ed16ee875c9 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Annotations from experts are used if they have already been collected."
] | task460-2356c5f85cb64f96aa05b0b134be3031 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"They use a slightly modified copy of the target to create the pseudo-text instead of full BT to make their technique cheaper"
] | task460-7b7d0d4538ff4b8784596c7858fdec78 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"correct classification rate (CCR)"
] | task460-5d991b2fd42a4741989809c82e2bf3ec |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"No"
] | task460-0d8f112324c044cb88182285501d82e6 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"SPARQL"
] | task460-cf2659b0437746cba9e8b0150fb827e4 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"mean reciprocal rank"
] | task460-5d38e8353e5e4c96989c48873aefc3a0 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"a simple word-level encoder The encoder is essentially the same as tweet2vec, with the input as words instead of characters."
] | task460-6b3f9ae5108948b4a0a7f1166dc605e3 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"doc2vec CNN DAN Tree-LSTM DRNN LSTMN C-LSTM SPGK WMD S-WMD Semantic-CNN LSTM-GRNN HN-ATT"
] | task460-11217343bb034d978912580b2685a1cd |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"They randomly sample sentences from Wikipedia that contains an object RC and add them to training data"
] | task460-be3b9c83756e4c8ea63fb68800c98bcb |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"German Spanish Chinese"
] | task460-7950909759854e86a72daad46aab8746 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"same baseline as used by lang2011unsupervised"
] | task460-bf1a3873f18941cb91167a65fec91c85 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"draw our data from news publications, wine reviews, and Reddit develop new metrics for the agreement of binomial orderings across communities and the movement of binomial orderings over time develop a null model to determine how much variation in binomial orderings we might expect across communities and across ti... | task460-55e9d0fb758c4b24bcf11561bf4dda25 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Yes"
] | task460-71c35daa82a6412a8de4116f85621f19 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"trained using Nematus default configuration"
] | task460-652c08d8b02e4c7194e4fae26d6293a1 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"TransE"
] | task460-d2868db8b899479a9639b7b608312174 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"daily Kawish and Awami Awaz Sindhi newspapers Wikipedia dumps short stories and sports news from Wichaar social blog news from Focus Word press blog historical writings, novels, stories, books from Sindh Salamat literary website novels, history and religious books from Sindhi Adabi Board tweets regarding news and... | task460-b6e207fae58f41c391c58b357cc6313c |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"all three representations are concatenated and passed into a MLP"
] | task460-7d3d57bc82c74a76ad02919acd7f809f |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"neural question-answering technique to extract relations from a story text OpenIE5, a commonly used rule-based information extraction technique"
] | task460-ce36075ae34d4a14a4f78e58fd5dfb0b |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"14"
] | task460-d6138ca58f6c454393d2ad8817910bf1 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Yes"
] | task460-6fdc8125fdaa4583b4e092fafe2c4f24 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"53 documents"
] | task460-6c332eabe2c943ed8127d4539dd684d7 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"attention probes using visualizations of the activations created by different pieces of text"
] | task460-d15210f6f0744367879bbb0e03915fd5 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Text Overlap Metrics, including BLEU Perplexity Parameterized Metrics"
] | task460-35b3dc4219294a66b7ecaff6b092e685 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
" inclusion of longer parts of the conversation"
] | task460-10a651c9974a4bc2bb5ad01d081cf9d0 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"rank-correlation BIBREF25"
] | task460-35cdf05ea5a44aeabf63d24d644e92cc |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"BIBREF3 BIBREF4 BIBREF9"
] | task460-95ef61f3b6e142a9a2f98a8165f9d107 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"constructively by selecting the parameters of the multi-head self-attention layer so that the latter acts like a convolutional layer"
] | task460-ed8b77a778974842a39480d37486a4ae |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Informative are those that will not be suppressed by regularization performed."
] | task460-a9848b48d9c84fe2af5d1d54c1a212c1 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"They collected tweets in Russian language using a heuristic query specific to Russian"
] | task460-3797288ce6bf4800a68b483ffb22c6e3 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Intelligence Squared Debates"
] | task460-1eb7561a85d24473964748d79a15a028 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Yes"
] | task460-6c1a7123d2404314bdc830586b529ffd |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Conditional Random Fields BiLSTM-CRF Multi-Task Learning BioBERT"
] | task460-bf366b6c165b4387b130fcc7fc407bb4 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"2000 sentences"
] | task460-9962f3e6b0fb42479b4fc9f9a0deffea |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"First, the embedding matrix INLINEFORM4 for all corpora is initialized during the training phase, INLINEFORM9 can be used to bias the input feature Next, we apply the language specific softmax to compute logits INLINEFORM4 and optimize them with the CTC objective"
] | task460-812830ed2e2c43baa392534c1d5274de |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"CNN/DailyMail news highlights New York Times Annotated Corpus XSum"
] | task460-4711feb82e8248d9b96a3dbdc1cf11cf |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"CrowdFlower"
] | task460-a7eac29927dc43d3919814b7f342cadf |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"weighted factorization of a word-context co-occurrence matrix "
] | task460-cb730d73ce174d8d9f93c7861cc87565 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Yes"
] | task460-76e27272ce764d218e20516bfad5ed58 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"the attention model, MDREA, also outperforms the best existing research results (WAP 0.690 to 0.688)"
] | task460-27531740c66b4f8bac2ce152f2b84510 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"10,000 Arabic tweet dataset "
] | task460-32362a4b45454d8b95f73454b6571a80 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"modeled the relationship between word count and the two metrics of user engagement (overall rating, mean number of turns) in separate linear regressions"
] | task460-10408992397c4648accd8e3af5fe4bd5 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"the CMU ARCTIC database BIBREF33 the M-AILABS speech dataset BIBREF34 "
] | task460-c9dafba67e614048be0d5594c1675729 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"speaker systems in the real world"
] | task460-f0136972fcd94c16b48812962574591f |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Logistic regression LSTM End-to-end memory networks Deep projective reader"
] | task460-1ac31e06da3049abb19a6aba0973545c |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Named Entity Recognition"
] | task460-547012511f6147a697e6dbc40b034bf2 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"They exclude slot-specific parameters and incorporate better feature representation of user utterance and dialogue states using syntactic information and convolutional neural networks (CNN)."
] | task460-fa94ca84ab57429093c6b1c4c81da76d |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"KL-divergences of language models for the news article and the already added news references"
] | task460-e1385c023725403080a92623618f90f9 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"We also evaluate all five models on downstream tasks from the VecEval suite BIBREF13 , using only the tasks for which training and evaluation data is freely available: chunking, sentiment and question classification, and natural language identification (NLI). The default settings from the suite are used, but we ru... | task460-7dcef33ad007469b89025e97787f4569 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Yes"
] | task460-d211d511a13948c9ae9f2aad76efa8f4 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"The image feature vectors are mapped into BERT embedding dimensions and treated like a text sequence afterwards."
] | task460-c974cd11b2f0435e8863460237c91eb0 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"clipped PMI; NNEGPMI"
] | task460-15394363f1fc40a1a91ad6305c2133f6 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Trinomials are likely to appear in exactly one order"
] | task460-79c57bfdb49f4a5999de1414981a6fa4 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"widely used method for classifying misleading content is to use distant annotations, for example to classify a tweet based on the domain of a URL that is shared by the tweet, or a hashtag that is contained in the tweet Natural Language Processing (NLP) models can be used to automatically label text content"
] | task460-126735008f5a47b4b5272ebf8b36c4c5 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"No"
] | task460-a0c7c94f9a8645c48af7e55c7d53583d |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Across 4 datasets, the best performing proposed model (CNN) achieved an average of 363% improvement over the state of the art method (LR-CNN)"
] | task460-c8255b9da2384e868852d5ba76a84695 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
" largest improvement ($22-26\\%$ E.R) when text-based unsupervised models are combined with image representations"
] | task460-8da9c8c2940046a8aabe3a2931d70acd |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"'= ( , { ll k(h:, g:) if hV, gV\n\n1 otherwise } )\n\nwhere $_{h:}$ and $_{g:}$ denote the embedding representations of $h$ and $g$ , respectively."
] | task460-a3b08937c86c492dadd0b0f89cf4a791 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"RNN"
] | task460-98f90629b56b46498b002d131b981ddc |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"the latest CLWE developments almost exclusively focus on fully unsupervised approaches BIBREF23 , BIBREF24 , BIBREF25 , BIBREF26 , BIBREF27 , BIBREF28 , BIBREF29 , BIBREF30 : they fully abandon any source of (even weak) supervision and extract the initial seed dictionary by exploiting topological similarities betw... | task460-b054ff562cea44b48277fdd5bf1d7dd9 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"At the moment defender can draw on methods from image area to text for improving the robustness of DNNs, e.g. adversarial training BIBREF107 , adding extra layer BIBREF113 , optimizing cross-entropy function BIBREF114 , BIBREF115 or weakening the transferability of adversarial examples."
] | task460-1882157949ee45f9b643e5a788510353 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Yes"
] | task460-3ead4b77283e44b9811006440261367c |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Two neural networks: an extractor based on an encoder (BERT) and a decoder (LSTM Pointer Network BIBREF22) and an abstractor identical to the one proposed in BIBREF8."
] | task460-77be53aa323449d8a4abba329f7b2528 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"No"
] | task460-e8cf4b9b889a4dd28b5cca2aabafcde2 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"the Transformer with 10 encoder layers and 2 decoder layers is $2.32$ times as fast as the 6-layer Transformer"
] | task460-455abc17d96641aaa089f196a7d76dcb |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"1,700-hour ( INLINEFORM2 1.1M instances) unlabeled dataset"
] | task460-15ae5aa67e864111a02d8a93cfd3fe66 |
Definition: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Positive Example 1 -
Input: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequ... | [
"Replacing attention mechanism to query-key attention, and adding a loss to make the attention mask as diagonal as possible"
] | task460-71643bdac3eb4f23ab0d801090079a57 |
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