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 8726–8750 of 10817 papers

TitleStatusHype
Structured Alignment Networks for Matching Sentences—0
Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection—0
Supervised and Unsupervised Methods for Robust Separation of Section Titles and Prose Text in Web Documents—0
Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering—0
The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification—0
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources—0
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction—0
Similarity-Based Reconstruction Loss for Meaning Representation—0
Speed Reading: Learning to Read ForBackward via ShuttleCode0
Transfer and Multi-Task Learning for Noun--Noun Compound Interpretation—0
Somm: Into the Model—0
A Unified Syntax-aware Framework for Semantic Role LabelingCode0
Investigating the Challenges of Temporal Relation Extraction from Clinical Text—0
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets—0
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging—0
QuAC: Question Answering in Context—0
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension—0
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?Code0
A dataset and baselines for sequential open-domain question answering—0
Generating Syntactic Paraphrases—0
Commonsense Knowledge Base Completion and Generation—0
Facts That MatterCode0
Put It Back: Entity Typing with Language Model EnhancementCode0
Large-scale Exploration of Neural Relation Classification ArchitecturesCode0
A State-transition Framework to Answer Complex Questions over Knowledge Base—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