A Fast Attention Network for Joint Intent Detection and Slot Filling on

Bert Slot - Profile bert slot The experimental results show that the LC-BERT model has better classification and slot filling effects than traditional models, proving this method's bert for joint intent classification and slot filling Predict intent and slot at the same time from one BERT model ; total_loss = intent_loss + coef * slot_loss (Change coef with --slot_loss_coef

miami bonus wheel hitnroll slot Here we want to use BERT to compute a representation of a single voice command at a time; We could reuse the representation of the token for sequence