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 4601–4625 of 10817 papers

TitleStatusHype
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks—0
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction—0
Automatic Coupling of Answer Extraction and Information Retrieval—0
Advances in Natural Language Question Answering: A Review—0
Data augmentation techniques for the Video Question Answering task—0
Automatic Compound Processing: Compound Splitting and Semantic Analysis for Afrikaans and Dutch—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
Biomedical Evidence Generation Engine—0
Data Augmentation for Visual Question Answering—0
Automatic classification of doctor-patient questions for a virtual patient record query task—0
Automatic Claim Review for Climate Science via Explanation Generation—0
Data Augmentation for Biomedical Factoid Question Answering—0
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering—0
A Collection of Question Answering Datasets for Norwegian—0
DARE: Diverse Visual Question Answering with Robustness Evaluation—0
Automatic Building and Using Parallel Resources for SMT from Comparable Corpora—0
Danoliteracy of Generative, Large Language Models—0
Medical Knowledge Graph QA for Drug-Drug Interaction Prediction based on Multi-hop Machine Reading Comprehension—0
Advances in Multi-turn Dialogue Comprehension: A Survey—0
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction—0
DaNetQA: a yes/no Question Answering Dataset for the Russian Language—0
Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning—0
Automatically Extracting Procedural Knowledge from Instructional Texts using Natural Language Processing—0
An Efficient Active Learning Framework for New Relation Types—0
DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection—0
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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