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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
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation ExtractionCode1
Entity, Relation, and Event Extraction with Contextualized Span RepresentationsCode1
A General Framework for Information Extraction using Dynamic Span GraphsCode1
OpenUE: An Open Toolkit of Universal Extraction from TextCode1
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based ResultsCode1
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural NetworksCode1
Joint Entity and Relation Extraction with Set Prediction NetworksCode1
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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