Learning Domain-Independent Dialogue Policies via Ontology Parameterisation
Zhuoran Wang, Tsung-Hsien Wen, Pei-Hao Su, Yannis Stylianou · 2015
This paper introduces a novel approach to eliminate the domain dependence of dialogue state and action representations, such that dialogue policies trained based on the proposed representation can be transferred across different domains.The experimental results show that the policy optimised in a restaurant search domain using our domain-independent representations can be deployed to a laptop sale domain, achieving a task success rate very close (96.4% relative) to that of the policy optimised on in-domain dialogues.