Bert Slot

In addition, we demonstrate that joint training as well as the use of pre-trained lan- guage models, ELMo and BERT in our case, are complementary to these few-

Natural language understanding has two core tasks: intent classification and slot filling The success of pre-training language models

bert for joint intent classification and slot filling Conditioning the Transformer encoder on multiple target inferences over the same corpus, , intent and multiple slot types, allows learning

lightning link slot machine BERT-Joint Transformer-NLU Figure 1: Model architectures for joint learning of intent and slot filling: