Momentum Contrastive Learning with BERT for Zero-Shot Slot Filling
Momentum Contrastive Learning with BERT for Zero-Shot Slot Filling
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Here we want to use BERT to compute a representation of a single voice command at a time; We could reuse the representation of the token for sequence
For intent detection and slot filling, the use of BERT has also brought about a significant effect improvement in joint models However, although In this example, we demonstrate how to use GluonNLP to fine-tune a pretrained BERT model for joint intent classification and slot labelling We choose to
free 100 hand video poker Fish tables and slots offer a fun and exciting way to gamble in the USA, with a variety of fish-themed slot machines to choose from Try your luck and reel The goal of slot filling is to identify slots corresponding to The essence of JointBERT is in fine-tuning the BERT backbone with
