Intent Detection and Slot Filling for Vietnamese

JointBERT+CRF model, where we introduce the intent-slot attention layer to explicitly incorporate intent context information into slot filling

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JointBERT+CRF model, where we introduce the intent-slot attention layer to explicitly incorporate intent context information into slot filling

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

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

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Specifically, the proposed joint BERT model improves intent classification accuracy, slot filling F1 score, and sentence-level semantic frame accuracy The