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 6476–6500 of 10817 papers

TitleStatusHype
Challenges for Information Extraction from Dialogue in Criminal Law—0
Learning to Generate Questions by Learning to Recover Answer-containing Sentences—0
Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs—0
Reader-Guided Passage Reranking for Open-Domain Question AnsweringCode1
A Robustly Optimized BERT Pre-training Approach with Post-training—0
Emotion Classification of COVID-19 Chinese Microblogs based on the Emotion Category Description—0
LRRA:A Transparent Neural-Symbolic Reasoning Framework for Real-World Visual Question Answering—0
利用图像描述与知识图谱增强表示的视觉问答(Exploiting Image Captions and External Knowledge as Representation Enhancement for Visual Question Answering)—0
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers—0
Attribute Value Generation from Product Title using Language Models—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
Check It Again:Progressive Visual Question Answering via Visual EntailmentCode1
Towards a more Robust Evaluation for Conversational Question Answering—0
Explanations for CommonsenseQA: New Dataset and Models—0
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering—0
A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question UnderstandingCode1
Modeling Transitions of Focal Entities for Conversational Knowledge Base Question AnsweringCode1
Multi-Scale Progressive Attention Network for Video Question Answering—0
LIORI at SemEval-2021 Task 8: Ask Transformer for measurements—0
ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question AnsweringCode0
Learning Faithful Representations of Causal Graphs—0
Learning Event Graph Knowledge for Abductive ReasoningCode1
Recognizing Multimodal Entailment—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