Relation Extraction On Cdr

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
SAISORE+CR+ET-SciBERT	79	SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
Dense-CCNet-SciBERTbase	77.06	A Densely Connected Criss-Cross Attention Network for Document-level Relation Extraction
DRE-MIR-SciBERT	76.6	A Masked Image Reconstruction Network for Document-level Relation Extraction
DocuNet-SciBERTbase	76.3	Document-level Relation Extraction as Semantic Segmentation
CGM2IR-SciBERTbase	73.8	Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning
SciBERT-ATLOPBASE	69.4	Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
SSANBiaffine	68.7	Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
seq2rel (entity hinting)	67.2	A sequence-to-sequence approach for document-level relation extraction
BioRelation-Extraction_BERT_SDP_Triplets	65	Enhancing Biomedical Relation Extraction with Transformer Models using Shortest Dependency Path Features and Triplet Information
LSR w/o MDP Nodes	64.8	Reasoning with Latent Structure Refinement for Document-Level Relation Extraction

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