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Relation Extraction
Relation Extraction On Redocred
Relation Extraction On Redocred
Metrics
F1
Ign F1
Results
Performance results of various models on this benchmark
Columns
Model Name
F1
Ign F1
Paper Title
DREEAM
80.73
79.66
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction
HingeABL
79.79
78.82
Adaptive Hinge Balance Loss for Document-Level Relation Extraction
SSR-PU
78.86
77.67
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling
KD-DocRE
78.28
77.60
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
DocuNET
77.87
77.26
Document-level Relation Extraction as Semantic Segmentation
ATLOP
77.56
76.82
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
JEREX
72.57
71.45
An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
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Relation Extraction On Redocred | SOTA | HyperAI