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 7951–7975 of 10817 papers

TitleStatusHype
AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums—0
A Natural Language Instructor for pedestrian navigation based in generation by selection—0
A Domain and Language Independent Named Entity Classification Approach Based on Profiles and Local Information—0
A Coarse to Fine Question Answering System based on Reinforcement Learning—0
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos—0
Ranking Automatically Generated Questions Using Common Human Queries—0
In-the-Wild Video Question Answering—0
Ranking Facts for Explaining Answers to Elementary Science Questions—0
Inter-Weighted Alignment Network for Sentence Pair Modeling—0
Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model—0
Ranking LLMs by compression—0
Interpreting Questions with a Log-Linear Ranking Model in a Virtual Patient Dialogue System—0
CS563-QA: A Collection for Evaluating Question Answering Systems—0
Interpreting Consumer Health Questions: The Role of Anaphora and Ellipsis—0
Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension—0
An Attentive Sequence Model for Adverse Drug Event Extraction from Biomedical Text—0
Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data—0
Interpretation of Natural Language Rules in Conversational Machine Reading—0
Crowdsourcing Inference-Rule Evaluation—0
Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision—0
Interpretable Visual Question Answering via Reasoning Supervision—0
Crowdsourcing for the identification of event nominals: an experiment—0
AutoEQA: Auto-Encoding Questions for Extractive Question Answering—0
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining—0
Interpretable Visual Question Answering by Reasoning on Dependency Trees—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