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Data To Text Generation On Mlb Dataset 1
Metrics
Precision
Recall
Results
Performance results of various models on this benchmark
| 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 | - |
| SeqPlan | 43.3 | 53.5 | Data-to-text Generation with Variational Sequential Planning | |
| Macro | 40.8 | 54.9 | Data-to-text Generation with Macro Planning |
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