A Bert-based Joint Model of Intent Recognition and Slot Filling Cross

bert slot   Dan bert for joint intent classification and slot filling

mBERT is a multilingual pre-trained model, which is trained with the same strategies as BERT mBERT is trained on 15 G of the Wikipedia dataset

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 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

heup op slot BERT with external slot se- quence as 2nd sequence 77 Table 2: Comparison of BERT model We believe the pipeline approach to such user-developed BERT for Joint Intent Classification and Slot Filling monologgJointBERT • • 28 Feb 2019 Intent classification and slot filling are two essential tasks for