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 34313440 of 10817 papers

TitleStatusHype
Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question AnsweringCode0
Instruction Makes a DifferenceCode0
Integrating question answering and text-to-SQL in PortugueseCode0
Intelligent Assistant for People with Low Vision AbilitiesCode0
Intent Classification in Question-Answering Using LSTM ArchitecturesCode0
Injecting Numerical Reasoning Skills into Knowledge Base Question Answering ModelsCode0
Audiopedia: Audio QA with KnowledgeCode0
CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific ConceptsCode0
InterroLang: Exploring NLP Models and Datasets through Dialogue-based ExplanationsCode0
Joint Learning of Answer Selection and Answer Summary Generation in Community Question AnsweringCode0
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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