HyperAIHyperAI超神经
首页资讯论文教程数据集百科SOTALLM 模型天梯GPU 天梯顶会
全站搜索
关于
HyperAIHyperAI超神经

Relation Extraction On Cdr

评估指标

F1

评测结果

各个模型在此基准测试上的表现结果

模型名称
F1
Paper TitleRepository
SAISORE+CR+ET-SciBERT79SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
LSR w/o MDP Nodes64.8Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
SSANBiaffine68.7Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
CGM2IR-SciBERTbase73.8Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning-
SciBERT-ATLOPBASE69.4Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
DocuNet-SciBERTbase76.3Document-level Relation Extraction as Semantic Segmentation
seq2rel (entity hinting)67.2A sequence-to-sequence approach for document-level relation extraction
Dense-CCNet-SciBERTbase77.06A Densely Connected Criss-Cross Attention Network for Document-level Relation Extraction-
BioRelation-Extraction_BERT_SDP_Triplets65Enhancing Biomedical Relation Extraction with Transformer Models using Shortest Dependency Path Features and Triplet Information-
DRE-MIR-SciBERT76.6A Masked Image Reconstruction Network for Document-level Relation Extraction-
0 of 10 row(s) selected.