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 9451–9475 of 10817 papers

TitleStatusHype
End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights—0
Segmentation Guided Attention Networks for Visual Question Answering—0
SuperAgent: A Customer Service Chatbot for E-commerce Websites—0
Self-Crowdsourcing Training for Relation Extraction—0
Search-based Neural Structured Learning for Sequential Question Answering—0
A Constituent-Centric Neural Architecture for Reading Comprehension—0
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths—0
Gated Self-Matching Networks for Reading Comprehension and Question Answering—0
Neural Relation Extraction with Multi-lingual Attention—0
Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning—0
A Corpus of Natural Language for Visual Reasoning—0
Coarse-to-Fine Question Answering for Long Documents—0
Deep Learning in Semantic Kernel Spaces—0
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge—0
Neural Question Answering at BioASQ 5B—0
RelNet: End-to-End Modeling of Entities & Relations—0
Cross-language Learning with Adversarial Neural Networks: Application to Community Question Answering—0
Compact Tensor Pooling for Visual Question Answering—0
Neural Models for Key Phrase Detection and Question Generation—0
Neural Domain Adaptation for Biomedical Question AnsweringCode0
Attention Is All You NeedCode3
Dynamic Integration of Background Knowledge in Neural NLU Systems—0
Gated Orthogonal Recurrent Units: On Learning to ForgetCode0
Question Answering and Question Generation as Dual Tasks—0
A simple neural network module for relational reasoningCode0
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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