SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 8876–8900 of 10817 papers

TitleStatusHype
Learning to Generate Word Representations using Subword Information—0
Learning Visual Question Answering by Bootstrapping Hard AttentionCode0
Joint Modeling of Structure Identification and Nuclearity Recognition in Macro Chinese Discourse Treebank—0
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining—0
Open-Domain Event Detection using Distant SupervisionCode0
Integrating Question Classification and Deep Learning for improved Answer Selection—0
Extractive Headline Generation Based on Learning to Rank for Community Question Answering—0
A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction—0
A Review on Deep Learning Techniques Applied to Answer Selection—0
A review of Spanish corpora annotated with negationCode0
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpediaCode0
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators—0
LCQMC:A Large-scale Chinese Question Matching Corpus—0
One vs. Many QA Matching with both Word-level and Sentence-level Attention Network—0
AMR Beyond the Sentence: the Multi-sentence AMR corpus—0
Modeling Task Effects in Human Reading with Neural Network-based Attention—0
UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question Answering—0
Question Relevance in Visual Question Answering—0
Question-Aware Sentence Gating Networks for Question and Answering—0
Using link and content over time for embedding generation in Dynamic Attributed NetworksCode0
Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection—0
Pangloss: Fast Entity Linking in Noisy Text Environments—0
A Survey on Expert Recommendation in Community Question Answering—0
Latent Alignment and Variational AttentionCode0
NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified