Multi-lingual Intent Detection and Slot Filling in a Joint BERT-based

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

ABSTRACT We describe a joint model for intent detection and slot filling based on convolutional neural networks The proposed

bert for joint intent classification and slot filling Joint Intent Classification and Slot filling with BERT This notebook is based on the paper BERT for Joint Intent Classification and Slot Filling by Chen et al

frutz 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