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Relation Extraction On Cdr
Relation Extraction On Cdr
평가 지표
F1
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
F1
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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Relation Extraction On Cdr | SOTA | HyperAI초신경