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 38213830 of 10817 papers

TitleStatusHype
Feature Engineering in Learning-to-Rank for Community Question Answering Task0
Feature extraction and evaluation for BioMedical Question Answering0
DomainCQA: Crafting Expert-Level QA from Domain-Specific Charts0
Feature-Rich Networks for Knowledge Base Completion0
Feature-Rich Twitter Named Entity Recognition and Classification0
Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment0
Annotating Electronic Medical Records for Question Answering0
Feature Selection Using a Semantic Hierarchy for Event Recognition and Type Classification0
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality0
A Comprehensive Survey on Visual Question Answering Datasets and Algorithms0
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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