Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking

no code implementations • 16 Feb 2023 • Jing Xu, Dandan song, Chong Liu, Siu Cheung Hui, Fei Li, Qiang Ju, Xiaonan He, Jian Xie

In this paper, we propose a Dialogue State Distillation Network (DSDN) to utilize relevant information of previous dialogue states and migrate the gap of utilization between training and testing.

Contrastive Learning Dialogue State Tracking +1

TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations

no code implementations • 23 Dec 2021 • Xin Tian, Xinxian Huang, Dongfeng He, Yingzhan Lin, Siqi Bao, Huang He, Liankai Huang, Qiang Ju, Xiyuan Zhang, Jian Xie, Shuqi Sun, Fan Wang, Hua Wu, Haifeng Wang

Task-oriented dialogue systems have been plagued by the difficulties of obtaining large-scale and high-quality annotated conversations.

Data Augmentation speech-recognition +3