摘要
本文在中文维基百科知识库的基础上,对文本语义相关度计算进行了研究.实验选取了2014年12月15日在中文维基百科网站下载的主题文章,进行处理后作为语义概念知识库.在Words-240测试集上的实验结果表明,该方法比基于Word Net的LSA算法的效果要好.
In text semantic understanding , massive quantity of common sense and specialized knowledge is needed;it doesn ’ t suffice to only use human-compiled dictionary and thesaurus .As social networks develop , on-line Wikipedia provides a platform for sharing and improving human knowledge .This paper , on the basis of Chi-nese Wikipedia , studies the calculation of text semantic relativity .A corpus of processed texts is used as knowledge base of concepts;the texts are downloaded from Chinese Wikipedia as of 2014 December 15 .The results of experi-ment on Words-240 test set indicate that the method discussed in this paper is superior to WordNet-based approa-ches and LSA method .
出处
《洛阳师范学院学报》
2015年第5期80-83,共4页
Journal of Luoyang Normal University
关键词
语义理解
在线百科知识库
语义相关度
semantic understanding
online encyclopedia
semantic relativity
