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 9576–9600 of 10817 papers

TitleStatusHype
Iterative Multi-document Neural Attention for Multiple Answer Prediction—0
Question Answering through Transfer Learning from Large Fine-grained Supervision DataCode0
Semi-Supervised QA with Generative Domain-Adaptive Nets—0
Structured Attention Networks—0
Community Question Answering Platforms vs. Twitter for Predicting Characteristics of Urban Neighbourhoods—0
Question Analysis for Arabic Question Answering Systems—0
Dual Embeddings and Metrics for Relational Similarity—0
Representation Learning for Answer Selection with LSTM-Based Importance WeightingCode0
Domain-Targeted, High Precision Knowledge Extraction—0
Handling Multiword Expressions in Causality Estimation—0
Action Languages and Question Answering—0
Parsing with Traces: An O(n4) Algorithm and a Structural Representation—0
Syntactic Semantic Correspondence in Dependency Grammar—0
Vision and Language Integration: Moving beyond Objects—0
The representation and extraction of qunatitative information—0
Skip-Prop: Representing Sentences with One Vector Per Proposition—0
A Context-aware Attention Network for Interactive Question Answering—0
A deep learning approach for predicting the quality of online health expert question-answering services—0
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions—0
Attentive Explanations: Justifying Decisions and Pointing to the Evidence—0
Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion—0
Multi-Perspective Context Matching for Machine ComprehensionCode0
Knowledge Completion for Generics using Guided Tensor Factorization—0
Reading Comprehension using Entity-based Memory Network—0
VIBIKNet: Visual Bidirectional Kernelized Network for Visual Question AnsweringCode0
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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