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 7001–7025 of 10817 papers

TitleStatusHype
QAConv: Question Answering on Informative Conversations—0
Generative Relation Linking for Question Answering over Knowledge Bases—0
Zero-shot Task Transfer for Invoice Extraction via Class-aware QA Ensemble—0
Semantic Answer Similarity for Evaluating Question Answering Models—0
Extracting Semantics from Maintenance Records—0
Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering—0
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease DiagnosisCode0
Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models—0
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims—0
Decoupled Transformer for Scalable Inference in Open-domain Question Answering—0
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management—0
CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering—0
FPAI at SemEval-2021 Task 6: BERT-MRC for Propaganda Techniques Detection—0
A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering—0
A Robustly Optimized BERT Pre-training Approach with Post-training—0
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers—0
Challenges for Information Extraction from Dialogue in Criminal Law—0
Explanations for CommonsenseQA: New Dataset and Models—0
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering—0
Recognizing Multimodal Entailment—0
Ensemble ALBERT and RoBERTa for Span Prediction in Question Answering—0
Multi-Scale Progressive Attention Network for Video Question Answering—0
Towards Visual Question Answering on Pathology ImagesCode0
Emotion Classification of COVID-19 Chinese Microblogs based on the Emotion Category Description—0
Recursive Tree-Structured Self-Attention for Answer Sentence Selection—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