Is there any advantage of using BERT over Snips-NLU for slot-filling?

website bert slot 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 The pre-trained model BERT and BiLSTM networks were trained as a wholein order to improve the performance of semantic slot filling

bert slot BERT, to develop a robust zero-shot slot filling model mcBERT uses BERT to initialize the two encoders, the query encoder and key encoder  In this example, we demonstrate how to use GluonNLP to fine-tune a pretrained BERT model for joint intent classification and slot labelling We choose to  This is a commission slot for GN Paws off the rest of you

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