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 27512760 of 10817 papers

TitleStatusHype
Learning to Perform Role-Filler Binding with Schematic KnowledgeCode0
Beyond Language: Learning Commonsense from Images for ReasoningCode0
Learning from Explanations with Neural Execution TreeCode0
Learning the meanings of function words from grounded language using a visual question answering modelCode0
Learning to Answer Biomedical Questions: OAQA at BioASQ 4BCode0
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question AnsweringCode0
Learning Representation Mapping for Relation Detection in Knowledge Base Question AnsweringCode0
Learning Representations of Sets through Optimized PermutationsCode0
Learning Recurrent Span Representations for Extractive Question AnsweringCode0
Learning Relation Entailment with Structured and Textual InformationCode0
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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