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Relation Extraction On Gda

Metrics

F1

Results

Performance results of various models on this benchmark

Model Name
F1
Paper TitleRepository
DocuNet-SciBERTbase85.3Document-level Relation Extraction as Semantic Segmentation
Dense-CCNet-SciBERTbase86.44A Densely Connected Criss-Cross Attention Network for Document-level Relation Extraction-
SciBERT-ATLOPBASE83.9Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
seq2rel (entity hinting)84.9A sequence-to-sequence approach for document-level relation extraction
SSANBiaffine83.9Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
LSR w/o MDP Nodes82.2Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
DRE-MIR-SciBERT86.4A Masked Image Reconstruction Network for Document-level Relation Extraction-
SAISORE+CR+ET-SciBERT87.1SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
CGM2IR-SciBERTbase84.7Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning-
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