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 28112820 of 10817 papers

TitleStatusHype
ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge0
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models0
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight0
Deep Human Answer Understanding for Natural Reverse QA0
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts0
Action Languages and Question Answering0
END: Early Noise Dropping for Efficient and Effective Context Denoising0
End-to-end argumentation knowledge graph construction0
Enhancing Answer Selection in Community Question Answering with Pre-trained and Large Language Models0
Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain0
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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