SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi

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

bert slot Experimental results show high accuracy on intent classification and slot filling tasks, allowing the robot to perform tasks accurately for a  This is a commission slot for GN Paws off the rest of you   In this work, propose a joint intent classification and slot filling model based on BERT

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