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 8226–8250 of 10817 papers

TitleStatusHype
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question AnsweringCode0
Large Scale Question Answering using Tourism Data—0
Abductive Reasoning as Self-Supervision for Common Sense Question Answering—0
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering—0
Incorporating External Knowledge into Machine Reading for Generative Question Answering—0
A Better Way to Attend: Attention with Trees for Video Question AnsweringCode0
Semantics-aware BERT for Language UnderstandingCode0
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project—0
Answers Unite! Unsupervised Metrics for Reinforced Summarization ModelsCode0
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering—0
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks—0
Language Models as Knowledge Bases?Code0
PlotQA: Reasoning over Scientific Plots—0
Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering—0
Classification Betters Regression in Query-based Multi-document Summarisation Techniques for Question Answering: Macquarie University at BioASQ7b—0
FriendsQA: Open-Domain Question Answering on TV Show Transcripts—0
Real Life Application of a Question Answering System Using BERT Language Model—0
Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and ModelsCode0
Question Answering Systems Approaches and Challenges—0
EoANN: Lexical Semantic Relation Classification Using an Ensemble of Artificial Neural Networks—0
Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations—0
Discourse-Based Approach to Involvement of Background Knowledge for Question Answering—0
Automatic Question Answering for Medical MCQs: Can It go Further than Information Retrieval?—0
Automatic Propbank Generation for Turkish—0
Semantic Textual Similarity with Siamese Neural Networks—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