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Joint Entity And Relation Extraction On

Metrics

Cross Sentence
Entity F1

Results

Performance results of various models on this benchmark

Paper Title
SpERT.PL (SciBERT)No70.53Joint Entity and Relation Extraction from Scientific Documents: Role of Linguistic Information and Entity Types
SpERTNo70.33Span-based Joint Entity and Relation Extraction with Transformer Pre-training
SpERT (with overlap)No70.3Span-based Joint Entity and Relation Extraction with Transformer Pre-training
TriMF-70.17A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction
PL-MarkerYes69.9Packed Levitated Marker for Entity and Relation Extraction
Ours: cross-sentenceYes68.9A Frustratingly Easy Approach for Entity and Relation Extraction
MGENo68.4A Multi-Gate Encoder for Joint Entity and Relation Extraction
DyGIE++Yes67.50Entity, Relation, and Event Extraction with Contextualized Span Representations
PFNNo66.8A Partition Filter Network for Joint Entity and Relation Extraction
DyGIEYes65.2A General Framework for Information Extraction using Dynamic Span Graphs
SciIENo64.20Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
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Joint Entity And Relation Extraction On | SOTA | HyperAI