A new approach to compute the semantic similarity of Chinese question sentence

被引：0
|
作者：
Chen, Kang [1 ]
Fan, Xiao-Zhong [1 ]
Liu, Jie [1 ]
Yu, Zheng-Tao [2 ]
机构：
[1] Beijing Inst Technol, Sch Comp Sci Technol, Beijing 100081, Peoples R China
[2] Kunming Univ Sci & Technol, Sch Informat Engn & Automat, Kunming 650051, Peoples R China
来源：
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
基金：
中国国家自然科学基金;
关键词：
question semantic representation; semantic similarity; Chinese question; semantic chunk;
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：
The sentence similarity computation plays an important role in each field of Chinese Information Processing. A new approach to compute the Chinese question semantic similarity is presented, which is divided into two steps: the first step is to extract the Question Semantic Representation from the question, and the second step is to compute the question semantic similarity based on the Question Semantic Representation. This paper uses the method of Question Semantic Model Matching to extract the Question Semantic Representation from the question. The experimental results show that the proposed algorithm worked more reasonable in the real calculation. In addition, our approach is of great value for many potential applications in the future.
引用
收藏
页码：3390 / +
页数：2
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