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 8126–8150 of 10817 papers

TitleStatusHype
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data—0
Reinforcement Learning for Conversational Question Answering over Knowledge Graph—0
Intent Recognition in Conversational Recommender Systems—0
Reinforcement learning for question answering in programming domain using public community scoring as a human feedback—0
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages—0
Reinforcement Learning of Question-Answering Dialogue Policies for Virtual Museum Guides—0
Reinforcement Learning of Two-Issue Negotiation Dialogue Policies—0
Intelligent information extraction based on artificial neural network—0
A Unified Framework for Multilingual and Code-Mixed Visual Question Answering—0
An ASP-based Approach to Answering Natural Language Questions for Texts—0
A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering—0
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models—0
Relational Graph Convolutional Neural Networks for Multihop Reasoning: A Comparative Study—0
Relational Graph Representation Learning for Open-Domain Question Answering—0
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation—0
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure—0
AC/DC: LLM-based Audio Comprehension via Dialogue Continuation—0
Integrating Vision and Language Datasets to Measure Word Concreteness—0
Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base—0
Cross-lingual Short-text Matching with Deep Learning—0
Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering—0
Integrating SPARQL and LLMs for Question Answering over Scholarly Data Sources—0
Cross-Lingual Question Answering Using Common Semantic Space—0
Integrating Question Rewrites in Conversational Question Answering: A Reinforcement Learning Approach—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