Relation Extraction on WebNLG 3.0
Metric: F1 (higher is better)
Metric: F1 (higher is better)
| # | Model↕ | F1▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | ReGen (Ours) T2G.CE | 72.3 | No | ReGen: Reinforcement Learning for Text and Knowl... | 2021-08-27 | Code |
| 2 | ReGen | 72.3 | No | Knowledge Graph Generation From Text | 2022-11-18 | Code |
| 3 | Grapher (Text Nodes and Class Edges) | 72.2 | No | Knowledge Graph Generation From Text | 2022-11-18 | Code |
| 4 | ReGen (Ours) T2G.RL | 72 | No | ReGen: Reinforcement Learning for Text and Knowl... | 2021-08-27 | Code |
| 5 | Amazon AI (Shanghai) (guo-etal-2020-2) | 68.9 | No | ReGen: Reinforcement Learning for Text and Knowl... | 2021-08-27 | Code |
| 6 | Amazon AI | 68.9 | No | Knowledge Graph Generation From Text | 2022-11-18 | Code |
| 7 | bt5 (agarwal-etal-2020-machine) | 68.2 | No | ReGen: Reinforcement Learning for Text and Knowl... | 2021-08-27 | Code |
| 8 | BTS | 68.2 | No | Knowledge Graph Generation From Text | 2022-11-18 | Code |
| 9 | CycleGT | 34.2 | No | Knowledge Graph Generation From Text | 2022-11-18 | Code |
| 10 | Stanford OIE | 15.8 | No | Knowledge Graph Generation From Text | 2022-11-18 | Code |