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 8101–8125 of 10817 papers

TitleStatusHype
Interactive Visual Task Learning for Robots—0
Interactive Question Answering Systems: Literature Review—0
Interactive-Predictive Machine Translation based on Syntactic Constraints of Prefix—0
Interactive Natural Language Query Construction for Report Generation—0
Interactive Mongolian Question Answer Matching Model Based on Attention Mechanism in the Law Domain—0
Cross-Modal Generative Augmentation for Visual Question Answering—0
Towards an Atlas of Cultural Commonsense for Machine Reasoning—0
REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models—0
Refining Implicit Argument Annotation for UCCA—0
A Unified Query-based Generative Model for Question Generation and Question Answering—0
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction—0
Cross-lingual Transfer of Semantic Role Labeling Models—0
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction—0
Cross-Lingual Transfer Learning for Question Answering—0
An ASP Methodology for Understanding Narratives about Stereotypical Activities—0
Biomedical Evidence Generation Engine—0
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering—0
Rehearsing Answers to Probable Questions with Perspective-Taking—0
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
Intent Recognition in Conversational Recommender Systems—0
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages—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
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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