Intent Detection On Snips
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| td-gin-token-level-dynamic-graph-interactive | 98.1 |
| lidsnet-a-lightweight-on-device-intent | 98.0 |
| a-novel-bi-directional-interrelated-model-for | 97.43 |
| a-stack-propagation-framework-with-token | 99.0 |
| joint-slot-filling-and-intent-detection-via | 97.3 |
| a-stack-propagation-framework-with-token | 98.00 |
| cae-mechanism-to-diminish-the-class | 98.3 |
| a-novel-bi-directional-interrelated-model-for | 97.43 |
| slot-gated-modeling-for-joint-slot-filling | 97.00 |
| ctran-cnn-transformer-based-network-for | 99.42 |