Yuncong Liu

Label-Aware Auxiliary Learning for Dialogue State Tracking

Dialogue State Tracking (DST) is an essential part of task-oriented dialogue systems. Many existing methods try to utilize external dialogue datasets to improve the performance of DST models. Instead of previous methods, in this paper, we propose Label-Aware Auxiliary Learning for DST (LAL-DST) whic…