Data To Text Generation On Mlb Dataset 2
Métriques
BLEU
Résultats
Résultats de performance de différents modèles sur ce benchmark
| Titre de l’article | Code | ||
|---|---|---|---|
| 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 |
0 of 4 row(s) selected.