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 6176–6200 of 10817 papers

TitleStatusHype
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak DecoderCode1
Narrative Embedding: Re-Contextualization Through Attention—0
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language ModelsCode1
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization—0
Incorporating medical knowledge in BERT for clinical relation extraction—0
Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language GenerationCode0
Improving Query Graph Generation for Complex Question Answering over Knowledge Base—0
GANDALF: a General Character Name Description Dataset for Long Fiction—0
Neural Natural Logic Inference for Interpretable Question AnsweringCode0
Zero-Shot Clinical Questionnaire Filling From Human-Machine Interactions—0
Adapting Entities across Languages and Cultures—0
Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question AnsweringCode0
Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading ComprehensionCode0
Can NLI Models Verify QA Systems’ Predictions?Code1
A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base—0
Unseen Entity Handling in Complex Question Answering over Knowledge Base via Language Generation—0
MIRTT: Learning Multimodal Interaction Representations from Trilinear Transformers for Visual Question AnsweringCode0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple SubgoalsCode0
AutoEQA: Auto-Encoding Questions for Extractive Question Answering—0
A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering—0
Using Question Answering Rewards to Improve Abstractive SummarizationCode0
A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation—0
Textual Time Travel: A Temporally Informed Approach to Theory of Mind—0
Aspect-based Sentiment Analysis in Question Answering ForumsCode0
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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