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 4976–5000 of 10817 papers

TitleStatusHype
Interpretable Visual Question Answering Referring to Outside Knowledge—0
Interpretable Visual Question Answering by Reasoning on Dependency Trees—0
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining—0
Interpretable Visual Question Answering via Reasoning Supervision—0
Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision—0
Interpretation of Natural Language Rules in Conversational Machine Reading—0
Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data—0
Knowledge Graph Curation: A Practical Framework—0
Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite—0
Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text—0
Analyzing Language Learned by an Active Question Answering Agent—0
Explaining ELH Concept Descriptions through Counterfactual Reasoning—0
Interpreting Questions with a Log-Linear Ranking Model in a Virtual Patient Dialogue System—0
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain—0
In-the-Wild Video Question Answering—0
A Diachronic Corpus for Romanian (RoDia)—0
Knowledge-enhanced Agents for Interactive Text Games—0
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass—0
Introducing "Forecast Utterance" for Conversational Data Science—0
Knowledge-Enhanced Attentive Learning for Answer Selection in Community Question Answering Systems—0
Improving mitosis detection on histopathology images using large vision-language models—0
Introducing Semantics into Speech Encoders—0
Introduction method for argumentative dialogue using paired question-answering interchange about personality—0
Introduction of a Probabilistic Language Model to Non-Factoid Question Answering Using Example Q\&A Pairs—0
Attention-guided Generative Models for Extractive Question Answering—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