Grammatical Error Detection On Conll 2014 A2
Métriques
F0.5
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | F0.5 |
|---|---|
| jointly-learning-to-label-sentences-and | 29.65 |
| auxiliary-objectives-for-neural-error | 26.2 |
| compositional-sequence-labeling-models-for | 23.9 |
| auxiliary-objectives-for-neural-error | 45.1 |
| neural-quality-estimation-with-multiple | 63.1 |
| semi-supervised-multitask-learning-for | 25.88 |
| artificial-error-generation-with-machine | 30.13 |
| compositional-sequence-labeling-models-for | 44.0 |