Relation Extraction On Conll04
평가 지표
RE+ Micro F1
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | RE+ Micro F1 |
|---|---|
| 2408-00103 | 78.1 |
| adversarial-training-for-multi-context-joint | - |
| rebel-relation-extraction-by-end-to-end | 75.4 |
| end-to-end-neural-relation-extraction-with | 67.8 |
| a-trigger-sense-memory-flow-framework-for | 72.35 |
| neural-metric-learning-for-fast-end-to-end | - |
| end-to-end-neural-relation-extraction-using | - |
| modeling-joint-entity-and-relation-extraction | 61 |
| span-based-joint-entity-and-relation | 71.47 |
| entity-relation-extraction-as-multi-turn | 68.9 |
| autoregressive-structured-prediction-with | 76.3 |
| structured-prediction-as-translation-between-1 | 72.6 |
| deeper-task-specificity-improves-joint-entity | 71.08 |
| two-are-better-than-one-joint-entity-and | 73.6 |
| named-entity-recognition-and-relation | 72.6 |
| joint-entity-recognition-and-relation | - |