HyperAI

Intent Detection On Mixsnips

المقاييس

Accuracy

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة
اسم النموذجAccuracy
gl-gin-fast-and-accurate-non-autoregressive95.6
a-dynamic-graph-interactive-framework-with97.8
slim-explicit-slot-intent-mapping-with-bert97.2
a-two-stage-prediction-aware-contrastive96.5
td-gin-token-level-dynamic-graph-interactive96.5
co-guiding-net-achieving-mutual-guidances97.7
joint-multiple-intent-detection-and-slot-297.8
a-scope-sensitive-and-result-attentive-model98.4
a-two-stage-prediction-aware-contrastive96.9
enhancing-joint-multiple-intent-detection-and95.5
uni-mis-united-multiple-intent-spoken97.2
misca-a-joint-model-for-multiple-intent97.3
exploiting-topic-information-for-joint-intent96.3
a-two-stage-prediction-aware-contrastive97.4
incorporating-instructional-prompts-into-a96.9
a-transformer-based-threshold-free-framework-197.7