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 8801–8825 of 10817 papers

TitleStatusHype
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question AnsweringCode0
Convolutional Neural Network: Text Classification Model for Open Domain Question Answering System—0
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer—0
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question AnsweringCode0
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency—0
Cascaded Mutual Modulation for Visual ReasoningCode0
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks—0
Dual Ask-Answer Network for Machine Reading ComprehensionCode0
Interpretable Visual Question Answering by Reasoning on Dependency Trees—0
A Memory-Network Based Solution for Multivariate Time-Series ForecastingCode0
Improving Question Answering by Commonsense-Based Pre-Training—0
Deep Relevance Ranking Using Enhanced Document-Query InteractionsCode0
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations—0
Open Domain Question Answering Using Early Fusion of Knowledge Bases and TextCode0
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering—0
t-Exponential Memory Networks for Question-Answering Machines—0
Towards Automated Customer SupportCode0
Zero-shot User Intent Detection via Capsule Neural NetworksCode0
Survey: Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey—0
Deep Attention Neural Tensor Network for Visual Question Answering—0
Question Answering by Reasoning Across Documents with Graph Convolutional NetworksCode0
Neural Compositional Denotational Semantics for Question Answering—0
Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A PlatformsCode0
A Quantum Many-body Wave Function Inspired Language Modeling ApproachCode0
Implementation Notes for the Soft Cosine Measure—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