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

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Showing 8576–8600 of 10817 papers

TitleStatusHype
Generating Dialogue Agents via Automated Planning—0
A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base—0
VrR-VG: Refocusing Visually-Relevant Relationships—0
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog—0
Learning and Evaluating General Linguistic Intelligence—0
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship DetectionCode0
Structuring an unordered text document—0
Dual Co-Matching Network for Multi-choice Reading Comprehension—0
Implicit Dimension Identification in User-Generated Text with LSTM Networks—0
Language Model Pre-training for Hierarchical Document Representations—0
A BERT Baseline for the Natural QuestionsCode0
A Question-Entailment Approach to Question AnsweringCode0
Constant Time Graph Neural Networks—0
Product-Aware Answer Generation in E-Commerce Question-AnsweringCode0
Visual Entailment: A Novel Task for Fine-Grained Image Understanding—0
Identifying Unclear Questions in Community Question Answering WebsitesCode0
Incremental Reading for Question Answering—0
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering—0
Semi-interactive Attention Network for Answer Understanding in Reverse-QA—0
Answer Interaction in Non-factoid Question Answering Systems—0
Multi-style Generative Reading Comprehension—0
Supervised Transfer Learning for Product Information Question Answering—0
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning—0
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering—0
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring ExpressionsCode0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified