Chinese Spoken Language Understanding with Conditional Random Fields

摘要：

This paper presents a new approach to spoken language understanding tagging for Chinese texts using conditional random fields (CRFs).SLU for spoken dialog system,especially the slot-filling problem is solved as a sequential labeling problem.The experimental results show that this approach has good performance and is feasible for the restricted domain oriented Chinese spoken language understanding.

作者: Weidong ZHOU Baozong YUAN Zhenjiang MIAO Weibin ZHU Weibin LIU

作者单位: Institute of Information Science,Beijing Jiaotong University,Beijing 100044,P.R.China;College of Inf Institute of Information Science,Beijing Jiaotong University,Beijing 100044,P.R.China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）