Simulated Spoken Dialogue System Based on IOHMM with User History

摘要：

　　Expanding corpora is very important in designing a spoken dialogue system (SDS).In this big data era, data is expensive to collect and there are rare annotations.Some researchers make much work to expand corpora, most of which is based on rule.This paper presents a probabilistic method to simulate dialogues between human and machine so as to expand a small corpus with more varied simulated dialogue acts.The method employs Input/output HMM with user history (UH-IOHMM) to learn system and user dialogue behavior.In addition, this paper compares with simulation system based on standard IOHMM.We perform experiments using the WDC-ICA corpus, weather do main corpus with annotation.And the experiment result shows that the method we present in this paper can produce high quality dialogue acts which are simi lar to real dialogue acts.

关键词： SDS Corpora UH-IOHMM dialogue acts

作者: Changliang Li Bo Xu XiuYing Wang WenDong Ge HongWei Hao

作者单位: Interactive Digital Media Technology Research Center (IDMTech), Institute of Automation, Chinese Academy of Sciences, Beijing, China

会议类型: 国际会议

会议名称: Second CCF Conference,NLPCC2013(第二届自然语言处理与中文计算会议)

会议地点: 重庆

会议语种:英文

页码: 83-92

在线出版日期: 2013-11-15（万方平台首次上网日期，不代表论文的发表时间）