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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 21–30 of 87 papers

TitleStatusHype
Deep Neural Networks for Relation ExtractionCode1
DeepStruct: Pretraining of Language Models for Structure PredictionCode1
A sequence-to-sequence approach for document-level relation extractionCode1
A Frustratingly Easy Approach for Entity and Relation ExtractionCode1
DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction DatasetCode1
A Cascade Dual-Decoder Model for Joint Entity and Relation ExtractionCode1
Joint Entity and Relation Extraction from Scientific Documents: Role of Linguistic Information and Entity TypesCode1
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based ResultsCode1
Joint Entity and Relation Extraction with Set Prediction NetworksCode1
Multilingual Entity and Relation Extraction Dataset and ModelCode1
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