Intent Detection On Atis
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| slot-gated-modeling-for-joint-slot-filling | 93.6 |
| cae-mechanism-to-diminish-the-class | 97.5 |
| a-stack-propagation-framework-with-token | 97.50 |
| lidsnet-a-lightweight-on-device-intent | 95.97 |
| a-novel-bi-directional-interrelated-model-for | 97.76 |
| ctran-cnn-transformer-based-network-for | 98.07 |
| td-gin-token-level-dynamic-graph-interactive | 97.1 |
| transformer-capsule-model-for-intent | 98.89 |
| attention-based-recurrent-neural-network | 98.43 |
| joint-online-spoken-language-understanding | 98.40 |
| bert-for-joint-intent-classification-and-slot | 97.9 |
| joint-slot-filling-and-intent-detection-via | 0.95 |
| a-bi-model-based-rnn-semantic-frame-parsing | 98.99 |
| bert-for-joint-intent-classification-and-slot | 97.5 |
| delta-a-deep-learning-based-language | 97.40 |
| a-novel-bi-directional-interrelated-model-for | 97.76 |