Part Of Speech Tagging On Social Media
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
---|---|---|---|
PretRand | 91.46 | Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging | - |
GATE | 88.69 | - | - |
CMU | 90.0 ± 0.5 | - | - |
0 of 3 row(s) selected.