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bert for joint intent classification and slot filling

BERT for Joint Intent Classification and Slot Filling

bert for joint intent classification and slot filling

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bert for joint intent classification and slot filling

website bert for joint intent classification and slot filling Experimental results show high accuracy on intent classification and slot filling tasks, allowing the robot to perform tasks accurately for a bert slot ABSTRACT We describe a joint model for intent detection and slot filling based on convolutional neural networks The proposed

bert for joint intent classification and slot filling We enrich a pre-trained language model, such as BERT or RoBERTa, to jointly solve the tasks of intent classification and slot filling • We  And using Joint-BERT to classify the intent so they can be executed I have trained a Rasa NLU model for intent classification and entity  Wang, “BERT for joint intent classification and slot filling,” 2019, arXiv: Z Zhang, Z Zhang, H Chen, and Z Zhang, “A joint learning

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