Joint Entity And Relation Extraction On
Metrics
Cross Sentence
Entity F1
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Cross Sentence | Entity F1 |
|---|---|---|
| span-based-joint-entity-and-relation | No | 70.33 |
| a-trigger-sense-memory-flow-framework-for | - | 70.17 |
| multi-task-identification-of-entities | No | 64.20 |
| pack-together-entity-and-relation-extraction | Yes | 69.9 |
| joint-entity-and-relation-extraction-from | No | 70.53 |
| a-general-framework-for-information | Yes | 65.2 |
| a-multi-gate-encoder-for-joint-entity-and | No | 68.4 |
| a-partition-filter-network-for-joint-entity | No | 66.8 |
| a-frustratingly-easy-approach-for-joint | Yes | 68.9 |
| span-based-joint-entity-and-relation | No | 70.3 |
| entity-relation-and-event-extraction-with | Yes | 67.50 |