Illustration of the BERT model for joint intent detection and slot filling

bert slot   Dan bert for joint intent classification and slot filling

Bibliographic details on BERT for Joint Intent Classification and Slot Filling

Abstract: Intent classification and slot filling are two core tasks in natural language understanding The interaction nature of the The experimental results show that the LC-BERT model has better classification and slot filling effects than traditional models, proving this method's

slot city бездепозитний промокод BERT, to develop a robust zero-shot slot filling model mcBERT uses BERT to initialize the two encoders, the query encoder and key encoder, and is trained Experimental results show high accuracy on intent classification and slot filling tasks, allowing the robot to perform tasks accurately for a