Task Conditioned BERT for Joint Intent Detection and Slot-filling

SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi bert slot In this work, propose a joint intent classification and slot filling model based on BERT bert slot 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

plastic slot drain BERT modules Both BERT modules are initialized with the pre - trained parameters But the BERT module for Slot-Dialogue and Slot-Entity Attention