A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding
Open paper
Benchmark
Model
Rank
Results
intent-detection-on-mixatis
SSRAN
–
Accuracy: 77.9
intent-detection-on-mixsnips
SSRAN
–
Accuracy: 98.4
slot-filling-on-mixatis
SSRAN
–
Micro F1: 89.4
slot-filling-on-mixsnips
SSRAN
–
Micro F1: 95.8
Rank counts only results with a code link.