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 6801–6825 of 10817 papers

TitleStatusHype
MIRTT: Learning Multimodal Interaction Representations from Trilinear Transformers for Visual Question AnsweringCode0
Unseen Entity Handling in Complex Question Answering over Knowledge Base via Language Generation—0
Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval—0
A Free Format Legal Question Answering System—0
Q^2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering—0
Zero-Shot Clinical Questionnaire Filling From Human-Machine Interactions—0
A Fact Checking and Verification System for FEVEROUS Using a Zero-Shot Learning Approach—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
What’s in Your Head? Emergent Behaviour in Multi-Task Transformer Models—0
Discourse Comprehension: A Question Answering Framework to Represent Sentence ConnectionsCode0
Learning from Limited Labels for Long Legal Dialogue—0
What’s in a Name? Answer Equivalence For Open-Domain Question AnsweringCode0
Study of Similarity Measures as Features in Classification for Answer Sentence Selection Task in Hindi Question Answering: Language-Specific v/s Other Measures—0
KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple SubgoalsCode0
AutoEQA: Auto-Encoding Questions for Extractive Question Answering—0
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization—0
A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering—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
A Transformer Based Approach towards Identification of Discourse Unit Segments and Connectives—0
Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering—0
Using Question Answering Rewards to Improve Abstractive SummarizationCode0
Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading ComprehensionCode0
Have You Seen That Number? Investigating Extrapolation in Question Answering Models—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