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Data To Text Generation On Mlb Dataset 2
Metrics
BLEU
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| SeqPlan | 14.29 | Data-to-text Generation with Variational Sequential Planning | |
| Macro | 12.62 | Data-to-text Generation with Macro Planning | |
| ENT | 11.50 | Data-to-text Generation with Entity Modeling | |
| Force-Copy | 10.5 | May the Force Be with Your Copy Mechanism: Enhanced Supervised-Copy Method for Natural Language Generation | - |
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