Regarding Joint intent/slot classification - Wrong intents

[arjunvk1027]

I am trying to make a model for HVAC and infotainment based system by using Jetson Nano . But most of the intents generated was false . There were no much adequate labels in the dataset related to my project. Could anyone please suggest any solution for this issue or recommend a new pre-trained model suitable for this project.

These were the results of the queries :

Stop music | audio_volume_mute
Play music | play_music
Play next track | play_music
Play previous track | music_query
Volume up | audio_volume_up
Volume down | audio_volume_up
mute | audio_volume_mute
Unmute | audio_volume_mute
AC temp increase | weather_query
AC temp decrease | weather_query
Fan on | social post
turn on fan | Play radio
on fan | social query
Fan off | audio volume mute
Fan speed increase | audio volume up
Fan speed decrease | audio volume up