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bert slot   Dan bert for joint intent classification and slot filling

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Natural language understanding has two core tasks: intent classification and slot filling The success of pre-training language models Abstract: Intent classification and slot filling are two core tasks in natural language understanding The interaction nature of the

super flip slot 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 Utterance-level intent detection and token-level slot filling are two key tasks for natural language understanding in task-oriented systems