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 8701–8725 of 10817 papers

TitleStatusHype
Learning from Limited Labels for Long Legal Dialogue—0
Learning Grounded Meaning Representations with Autoencoders—0
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models—0
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions—0
Learning Knowledge Graphs for Question Answering through Conversational Dialog—0
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering—0
Learning Online Alignments with Continuous Rewards Policy Gradient—0
Learning Question-Guided Video Representation for Multi-Turn Video Question Answering—0
Learning Rank Functionals: An Empirical Study—0
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues—0
Learning Representations and Agents for Information Retrieval—0
Learning Representations for Zero-Shot Retrieval over Structured Data—0
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization—0
Learning Representations of Entities and Relations—0
Learning Rich Image Region Representation for Visual Question Answering—0
Learning Rich Representation of Keyphrases from Text—0
Learning Scalar Adjective Intensity from Paraphrases—0
Learning Semantic Relatedness in Community Question Answering Using Neural Models—0
Learning Semantic Structure through First-Order-Logic Translation—0
Learning Semantic Textual Similarity with Structural Representations—0
Learning Sentiment Lexicons in Spanish—0
Learning Sparse Mixture of Experts for Visual Question Answering—0
Learning Sparsity for Effective and Efficient Music Performance Question Answering—0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework—0
Learning Structures of Negations from Flat Annotations—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