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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 41–50 of 87 papers

TitleStatusHype
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based ResultsCode1
GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction—0
REBEL: Relation Extraction By End-to-end Language generationCode1
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 Results—0
Packed Levitated Marker for Entity and Relation ExtractionCode1
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language ModelsCode1
A Partition Filter Network for Joint Entity and Relation ExtractionCode1
GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction—0
面向法律文本的实体关系联合抽取算法(Joint Entity and Relation Extraction for Legal Texts)—0
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