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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 71–80 of 87 papers

TitleStatusHype
Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction—0
A Relation-Specific Attention Network for Joint Entity and Relation ExtractionCode1
Semi-Automating Knowledge Base Construction for Cancer Genetics—0
Deeper Task-Specificity Improves Joint Entity and Relation ExtractionCode1
Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation ExtractionCode1
Span-based Joint Entity and Relation Extraction with Transformer Pre-trainingCode0
Entity, Relation, and Event Extraction with Contextualized Span RepresentationsCode1
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical TextCode0
Joint extraction of entities and overlapping relations using position-attentive sequence labeling—0
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation ExtractionCode0
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