Joint Entity And Relation Extraction On 8
評価指標
F1
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | F1 | Paper Title | Repository |
|---|---|---|---|
| BTS | 68.2 | Knowledge Graph Generation From Text | - |
| Amazon AI | 68.9 | Knowledge Graph Generation From Text | - |
| bt5 (agarwal-etal-2020-machine) | 68.2 | ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models | - |
| CycleGT | 34.2 | Knowledge Graph Generation From Text | - |
| Stanford OIE | 15.8 | Knowledge Graph Generation From Text | - |
| Amazon AI (Shanghai) (guo-etal-2020-2) | 68.9 | ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models | - |
| ReGen | 72.3 | Knowledge Graph Generation From Text | - |
| ReGen (Ours) T2G.RL | 72 | ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models | - |
| ReGen (Ours) T2G.CE | 72.3 | ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models | - |
| Grapher (Text Nodes and Class Edges) | 72.2 | Knowledge Graph Generation From Text | - |
0 of 10 row(s) selected.