Ccg Supertagging On Ccgbank
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| ccg-supertagging-with-a-recurrent-neural | 93.00 |
| hierarchically-refined-label-attention | 94.7 |
| lstm-ccg-parsing | 94.7 |
| semi-supervised-sequence-modeling-with-cross | 96.1 |
| geometry-aware-supertagging-with | 96.29 |
| supertagging-combinatory-categorial-grammar | 96.25 |
| deep-multi-task-learning-with-low-level-tasks | 93.26 |
| supertagging-with-lstms | 94.24 |