Automatic Dialogue Template Synthesis for Chatbot by Story Information Extraction

Shih-Hung Wu, Liang-Pu Chen, Ping-Che Yang, Tsun Ku

Abstract: Service Robot can tell stories to various audience who need a robot to accompany, such as children, students, and old people. It is desired that robot can discuss the story with the users after it just told a story. Discussion can be achieved with dialogue template; however, it is costly to edit the templates manually. In this paper we report how we build a system that adopts the information extraction technology to synthesize dialogue template in AIML, so that a Chatbot can chat about a new story with a human user.