DIALOG ACT CLASSIFICATION IN CHINESE SPOKEN LANGUAGE

被引：0

作者：

Liu, Peng ^{[1
]}

Hu, Qinghua ^{[1
]}

Dang, Jianwu ^{[1
]}

Jin, Di ^{[1
]}

Cao, Jinxin ^{[1
]}

机构：

[1] Tianjin Univ, Sch Comp Sci & Technol, Tianjin Key Lab Cognit Comp & Applicat, Tianjin 300072, Peoples R China

来源：

PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4 | 2013年

关键词：

Dialog Act; Intention understanding; Chinese spoken language; n-gram; HMM; Extended HMM; KNN;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Dialog Act (DA) is an important pragmatics feature for us to understand speakers' intention. Many methods have been proposed to recognize DA tags. However, little work has been conducted to address the problem of DA tagging in Chinese spoken dialog language. In this work, we employ both the lexical features and the inter-utterance dependency features for DA tagging. And we propose three different methods: n-gram, extended HMM and n-gram+KNN. The experimental results show that these methods are effective for the task.

引用

页码：516 / 521

页数：6