| 基于扩展关系的信息量计算方法 |
| |
| 引用本文： | 张凯勇,周春光,王康平,郭东伟,翟延冬.基于扩展关系的信息量计算方法[J].吉林大学学报(理学版),2011,49(6):1068-1072. |
| |
| 作者姓名： | 张凯勇 周春光 王康平 郭东伟 翟延冬 |
| |
| 作者单位： | 吉林大学 计算机科学与技术学院, 长春 130012 |
| |
| 基金项目： | 国家自然科学基金(批准号:60873146;60973092;60903097); 国家高技术研究发展计划863项目基金(批准号:2009AA02Z307); 吉林省生物识别新技术重点实验室项目(批准号:20082209); 吉林大学“211工程”三期建设项目 |
| |
| 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 |
| 收稿时间： | 2010-12-09 |
An Information Content Method Based on Extending Relations |
| |
| ZHANG Kai-yong,ZHOU Chun-guang,WANG Kang-ping,GUO Dong-wei,ZHAI Yan-dong.An Information Content Method Based on Extending Relations[J].Journal of Jilin University: Sci Ed,2011,49(6):1068-1072. |
| |
| Authors: | ZHANG Kai-yong ZHOU Chun-guang WANG Kang-ping GUO Dong-wei ZHAI Yan-dong |
| |
| Institution: | College of Computer Science and Technology, Jilin University, Changchun 130012, China |
| |
| 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. |
| |
| Keywords: | information content semantic similarity WordNet structure |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《吉林大学学报(理学版)》浏览原始摘要信息 |
| 点击此处可从《吉林大学学报(理学版)》下载免费的PDF全文 |
