J4 ›› 2011, Vol. 49 ›› Issue (06): 1068-1072.

• 计算机科学 • 上一篇    下一篇

基于扩展关系的信息量计算方法

张凯勇, 周春光, 王康平, 郭东伟, 翟延冬   

  1. 吉林大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2010-12-09 出版日期:2011-11-26 发布日期:2011-11-28
  • 通讯作者: 周春光 E-mail:cgzhou@jlu.edu.cn

An Information Content Method Based on Extending Relat

ZHANG Kaiyong, ZHOU Chunguang, WANG Kangping, GUO Dongwei, ZHAI Yandong   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2010-12-09 Online:2011-11-26 Published:2011-11-28
  • Contact: ZHOU Chunguang E-mail:cgzhou@jlu.edu.cn

摘要:

针对传统信息量计算方法中仅考虑WordNet内的上下位关系, 而未考虑部分整体关系问题, 提出一种基于扩展关系的信息量计算方法, 并验证了该方法的优越性. 应用该方法能改进词语或概念的语义相似度计算结果.

关键词: 信息量, 语义相似度, WordNet层次结构

Abstract:

According to the problem of the traditional information content method depending on WordNet structure, only the Hypernym/Hyponym relation is considered in this method. However, the Holonym/Meronym relation which is also important has not been considered. Therefore, a method based on extending relations was given in this paper. According to the experiments, the method is better.  The result of the semantic similarity between words or concepts can be improved according to the method.

Key words: information content, semantic similarity, WordNet structure

中图分类号: 

  • TP391.1