Self-Training with Purpose Preserving Augmentation Improves Few-shot Generative Dialogue State Tracking

Jihyun Lee, Chaebin Lee, Yunsu Kim +1

In dialogue state tracking (DST), labeling the dataset involves considerable human labor. We propose a new self-training framework for few-shot generative DST that utilize unlabele…