Text Generation on E2E NLG Challenge
Metric: ROUGE-L (higher is better)
Metric: ROUGE-L (higher is better)
| # | Model↕ | ROUGE-L▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | Zhang | 70.83 | No | - | - | - |
| 2 | S_1^R | 70.82 | No | Pragmatically Informative Text Generation | 2019-04-02 | Code |
| 3 | TrICy (trK = 0) | 70.14 | No | TrICy: Trigger-guided Data-to-text Generation wi... | 2024-01-25 | - |
| 4 | EDA_CS | 68.94 | No | Copy mechanism and tailored training for charact... | 2019-04-26 | Code |
| 5 | TGen | 68.5 | No | Findings of the E2E NLG Challenge | 2018-10-02 | Code |
| 6 | Self-memory | 68.41 | No | Self-training from Self-memory in Data-to-text G... | 2024-01-19 | Code |
| 7 | Sys1-Primary | 68.39 | Yes | - | - | - |
| 8 | Slug | 67.72 | Yes | A Deep Ensemble Model with Slot Alignment for Se... | 2018-05-16 | - |
| 9 | EDA_CS (TL) | 67.4 | Yes | Copy mechanism and tailored training for charact... | 2019-04-26 | Code |
| 10 | Gong | 66.45 | No | - | - | - |
| 11 | TUDA | 66.14 | No | - | - | Code |