Web Text Classification for Response Generation in Spoken Decision Support Dialogue Systems

摘要：

This paper addresses issues in generating responses by extracting sentences from the Web for spoken decisionmaking dialogue systems. Various decision criteria are usually involved when selecting an alternative from a given set of alternatives. Such a dialogue system is required to explain the alternatives in terms of each decision criterion focusing on why the alternative is recommended. Preparation of a generation template is difficult for such explanations; thus we consider extracting and then adapting sentences retrieved from the Web. In this work, we address our preliminary experiment in selecting sentences appropriate for system responses.

作者: Teruhisa Misu Kiyonori Ohtake Chiori Hori Hideki Kashioka Hisashi Kawai Satoshi Nakamura

作者单位: Spoken Language Communication Group, Mastar Project, National Institute of nformation and Communicat Spoken Language Communication Group, Mastar Project, National Institute of Information and Communica

会议类型: 国际会议

会议名称: 2010 4th International Universal Communication Symposium(第四届国际普遍交流学术研讨会 IUCS 2010)

会议地点: 北京

会议语种:英文

页码: 130-133

在线出版日期: 2010-10-18（万方平台首次上网日期，不代表论文的发表时间）