CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
A Teacher-Student Framework for Maintainable Dialog Manager
Wang, Weikang1; Zhang, Jiajun1; Zhang, Han2; Hwang, Mei-Yuh2; Zong, Chengqing1; Li, Zhifei2
Conference NameEMNLP
Conference Date2018-11
Conference PlaceBrussels, Belgium

Reinforcement learning (RL) is an attractive solution for task-oriented dialog systems. However, extending RL-based systems to handle new intents and slots requires a system redesign. The high maintenance cost makes it difficult to apply RL methods to practical systems on a large scale. To address this issue, we propose a practical teacherstudent framework to extend RL-based dialog systems without retraining from scratch. Specifically, the “student” is an extended dialog manager based on a new ontology, and the “teacher” is existing resources used for guiding the learning process of the “student”. By specifying constraints held in the new dialog manager, we transfer knowledge of the “teacher” to the “student” without additional resources. Experiments show that the performance of the extended system is comparable to the system trained from scratch. More importantly, the proposed framework makes no assumption about the unsupported intents and slots, which makes it possible to improve RL-based systems incrementally.

Document Type会议论文
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wang, Weikang,Zhang, Jiajun,Zhang, Han,et al. A Teacher-Student Framework for Maintainable Dialog Manager[C],2018.
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