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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8726–8750 of 10817 papers

TitleStatusHype
Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection—0
Structured Alignment Networks for Matching Sentences—0
Similarity-Based Reconstruction Loss for Meaning Representation—0
The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification—0
Transfer and Multi-Task Learning for Noun--Noun Compound Interpretation—0
Supervised and Unsupervised Methods for Robust Separation of Section Titles and Prose Text in Web Documents—0
Speed Reading: Learning to Read ForBackward via ShuttleCode0
Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering—0
Sentiment Classification towards Question-Answering with Hierarchical Matching Network—0
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources—0
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question AnsweringCode0
Direct optimization of F-measure for retrieval-based personal question answering—0
Denoise while Aggregating: Collaborative Learning in Open-Domain Question Answering—0
Learning Corresponded Rationales for Text Matching—0
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation—0
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuACCode0
No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge GraphCode0
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringCode1
ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters—0
Stochastic Answer Networks for SQuAD 2.0Code0
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings—0
Textually Enriched Neural Module Networks for Visual Question Answering—0
Neural Approaches to Conversational AI—0
Multimodal Dual Attention Memory for Video Story Question Answering—0
A Quantitative Evaluation of Natural Language Question Interpretation for Question Answering Systems—0
Show:102550
← PrevPage 350 of 433Next →
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