Measure Semantic Similarity between English Words

被引：0
|
作者：
Hu, Jinwu [1 ]
Dai, Liuling [2 ]
Liu, Bin [3 ]
机构：
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing Key Lab Intelligent Informat, Beijing 100081, Peoples R China
[3] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China
来源：
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE FOR YOUNG COMPUTER SCIENTISTS, VOLS 1-5 | 2008年
关键词：
Semantic similarity; hownet; bilingual knowledge base;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Semantic similarity between two words is a fundamental issue for many natural language processing applications. The difficulty lies in that how to develop a computational method that is capable of generating satisfactory results close to what humans would perceive. In this paper, we proposed a novel approach to measure the semantic similarity between two English words by exploring the utility of HowNet, which is a valuable Chinese-English bilingual knowledge base. When compared with a benchmark set by human similarity judgment, the measures achieved by our algorithm are quite sound.
引用
收藏
页码：1689 / +
页数：2
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