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Joint Entity and Relation Extraction

Joint Entity and Relation Extraction is the task of extracting entity mentions and semantic relations between entities from unstructured text with a single model.

Papers

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Showing 51–60 of 87 papers

TitleStatusHype
CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse—0
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference ResolutionCode1
HySPA: Hybrid Span Generation for Scalable Text-to-Graph ExtractionCode1
A Cascade Dual-Decoder Model for Joint Entity and Relation ExtractionCode1
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective InferenceCode1
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism—0
Representation Iterative Fusion based on Heterogeneous Graph Neural Network for Joint Entity and Relation ExtractionCode1
Deep Neural Networks for Relation ExtractionCode1
Multilingual Entity and Relation Extraction Dataset and ModelCode1
An End-to-end Model for Entity-level Relation Extraction using Multi-instance LearningCode1
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