mcBERT: Momentum Contrastive Learning with BERT for Zero-Shot

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BERT is used for intent recognition and slot filling because it effectively integrates the semantic information of intention and slot labels

Moreover, BERT contextual representation is combined with WFST and trained simultaneously on supervised data using a gradient descent algorithm

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bert stevens poker Abstract: Intent classification and slot filling are two core tasks in natural language understanding The interaction nature of the