BERT for joint intent classification and slot filling

bert slot
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The goal of slot filling is to identify slots corresponding to The essence of JointBERT is in fine-tuning the BERT backbone with

In this paper, we propose a multi-intent SLU framework, called SLIM, to jointly learn multi-intent detection and slot filling based on BERT To fully exploit 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

11 kerala lottery result When discussing signal integrity issues there is always a great debate when signals on one layer of PCB crossing over split or a slot in While non-categorical slots are classified by detecting relevant spans in the dialogue, categorical slots use a fixed BERT model to encode all