bert for joint intent classification and slot filling
BERT for Joint Intent Classification and Slot Filling
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