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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 31–40 of 87 papers

TitleStatusHype
Joint Entity and Relation Extraction from Scientific Documents: Role of Linguistic Information and Entity TypesCode1
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph ConstructionCode1
Packed Levitated Marker for Entity and Relation ExtractionCode1
A General Framework for Information Extraction using Dynamic Span GraphsCode1
An End-to-end Model for Entity-level Relation Extraction using Multi-instance LearningCode1
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based ResultsCode1
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
CoType: Joint Extraction of Typed Entities and Relations with Knowledge BasesCode1
Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence EncodersCode1
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