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 9876–9900 of 10817 papers

TitleStatusHype
Learning Cross-lingual Representations with Matrix Factorization—0
NUIG-UNLP at SemEval-2016 Task 13: A Simple Word Embedding-based Approach for Taxonomy Extraction—0
ArabTAG: from a Handcrafted to a Semi-automatically Generated TAG—0
Neural Enquirer: Learning to Query Tables in Natural Language—0
Paraphrase for Open Question Answering: New Dataset and Methods—0
Joint Learning with Global Inference for Comment Classification in Community Question Answering—0
Proceedings of the Workshop on Human-Computer Question Answering—0
Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL)—0
Question Answering with Knowledge Base, Web and Beyond—0
Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement—0
Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity.—0
Explicit Argument Identification for Discourse Parsing In Hindi: A Hybrid Pipeline—0
An End-to-end Approach to Learning Semantic Frames with Feedforward Neural Network—0
Hitachi at SemEval-2016 Task 12: A Hybrid Approach for Temporal Information Extraction from Clinical Notes—0
BIT at SemEval-2016 Task 1: Sentence Similarity Based on Alignments and Vector with the Weight of Information Content—0
Incorporating Selectional Preferences in Multi-hop Relation Extraction—0
Multimodal Use of an Upper-Level Event Ontology—0
Crowdsourcing for (almost) Real-time Question Answering—0
CaTeRS: Causal and Temporal Relation Scheme for Semantic Annotation of Event Structures—0
ITNLP-AiKF at SemEval-2016 Task 3 a quesiton answering system using community QA repository—0
Discontinuous Genitives in Hindi/Urdu—0
Recent Progress in Deep Learning for NLP—0
OSU\_CHGCG at SemEval-2016 Task 9 : Chinese Semantic Dependency Parsing with Generalized Categorial Grammar—0
PMI-cool at SemEval-2016 Task 3: Experiments with PMI and Goodness Polarity Lexicons for Community Question Answering—0
Applying Universal Schemas for Domain Specific Ontology Expansion—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