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

Showing 28012810 of 10817 papers

TitleStatusHype
Benchmarking Vision-Language Contrastive Methods for Medical Representation LearningCode0
Learning Musical Representations for Music Performance Question AnsweringCode0
Learning Representation Mapping for Relation Detection in Knowledge Base Question AnsweringCode0
Learning from Explanations with Neural Execution TreeCode0
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective IntelligenceCode0
Learning Distributed Representations of Texts and Entities from Knowledge BaseCode0
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question AnsweringCode0
Learning from Lexical Perturbations for Consistent Visual Question AnsweringCode0
Learning to Answer Biomedical Questions: OAQA at BioASQ 4BCode0
Learning to Generalize for Cross-domain QACode0
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Benchmark Results

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