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

We enrich a pre-trained language model, such as BERT or RoBERTa, to jointly solve the tasks of intent classification and slot filling • We introduce an

Conditioning the Transformer encoder on multiple target inferences over the same corpus, , intent and multiple slot types, allows learning

bert slot Balanced joint adversarial training for robust intent Chen, Q , Zhuo, Z , Wang, W , 2019 Bert for joint intent classification and slot filling arXiv

raging rhino slot review intent classification and slot filling It includes two modules, IR2SF and SF2IR so that the performance of intention recognition and slot filling can be