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 26912700 of 10817 papers

TitleStatusHype
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine TranslationCode0
MapQaTor: An Extensible Framework for Efficient Annotation of Map-Based QA DatasetsCode0
Optimizing Retrieval-augmented Reader Models via Token EliminationCode0
Answer Complex Questions: Path Ranker Is All You NeedCode0
BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical QuestionsCode0
A General Framework for Producing Interpretable Semantic Text EmbeddingsCode0
Learning Visual Question Answering by Bootstrapping Hard AttentionCode0
Learning to Search in Long Documents Using Document StructureCode0
Learning to Select from Multiple OptionsCode0
Biomedical Named Entity Recognition at ScaleCode0
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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