Data To Text Generation On Mlb Dataset
المقاييس
Precision
count
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
| Paper Title | |||
|---|---|---|---|
| SeqPlan | 95.9 | 28.9 | Data-to-text Generation with Variational Sequential Planning |
| Macro | 94.4 | 30.8 | Data-to-text Generation with Macro Planning |
| Force-Copy | 84.50 | 21.05 | May the Force Be with Your Copy Mechanism: Enhanced Supervised-Copy Method for Natural Language Generation |
| ENT | 81.1 | 23.8 | Data-to-text Generation with Macro Planning |
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