Data To Text Generation On Mlb Dataset 1
Metrics
Precision
Recall
Results
Performance results of various models on this benchmark
Model Name | Precision | Recall | Paper Title | Repository |
|---|---|---|---|---|
| Force-Copy | 49.39 | 50.89 | May the Force Be with Your Copy Mechanism: Enhanced Supervised-Copy Method for Natural Language Generation | - |
| Macro | 40.8 | 54.9 | Data-to-text Generation with Macro Planning | - |
| SeqPlan | 43.3 | 53.5 | Data-to-text Generation with Variational Sequential Planning | - |
0 of 3 row(s) selected.