Relation Extraction On Gda
평가 지표
F1
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | F1 | Paper Title | Repository |
|---|---|---|---|
| DocuNet-SciBERTbase | 85.3 | Document-level Relation Extraction as Semantic Segmentation | |
| Dense-CCNet-SciBERTbase | 86.44 | A Densely Connected Criss-Cross Attention Network for Document-level Relation Extraction | - |
| SciBERT-ATLOPBASE | 83.9 | Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling | |
| seq2rel (entity hinting) | 84.9 | A sequence-to-sequence approach for document-level relation extraction | |
| SSANBiaffine | 83.9 | Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction | |
| LSR w/o MDP Nodes | 82.2 | Reasoning with Latent Structure Refinement for Document-Level Relation Extraction | |
| DRE-MIR-SciBERT | 86.4 | A Masked Image Reconstruction Network for Document-level Relation Extraction | - |
| SAISORE+CR+ET-SciBERT | 87.1 | SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction | |
| CGM2IR-SciBERTbase | 84.7 | Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning | - |
0 of 9 row(s) selected.