Relation Extraction On Webnlg
Métriques
F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | F1 |
|---|---|
| tplinker-single-stage-joint-extraction-of | 91.9 |
| joint-extraction-of-entities-and-relations | 28.3 |
| a-partition-filter-network-for-joint-entity | 93.6 |
| contrastive-triple-extraction-with-generative | 83.4 |
| a-novel-hierarchical-binary-tagging-framework | 91.8 |
| joint-extraction-of-entities-and-relations-3 | 83.1 |
| recurrent-interaction-network-for-jointly | 90.1 |
| unirel-unified-representation-and-interaction | 94.7 |
| tdeer-an-efficient-translating-decoding | 93.1 |
| a-relation-specific-attention-network-for | 82.1 |
| extracting-relational-facts-by-an-end-to-end | 37.1 |
| copymtl-copy-mechanism-for-joint-extraction | 60.5 |
| representation-iterative-fusion-based-on | 92.6 |
| joint-entity-and-relation-extraction-with-set | 93.4 |