SEARCHING AND COMPUTING FOR VOCABULARIES WITH SEMANTIC CORRELATIONS FROM CHINESE WIKIPEDIA

摘要：

This paper introduces experiment on searching for semantically correlated vocabularies in Chinese Wikipedia pages and computing semantic correlations. Based on the 54,745 structured documents generated from Wikipedia pages, we explore about 400,000 pairs of Wikipedia vocabularies considering of hyperlinks, overlapped text and document positions. Semantic relatedness is calculated based on the relatedness of Wikipedia documents. From comparing experiment we analyze the reliability of our measures and some other properties.

关键词： Wikipedia Semantic Relatedness

作者: Yun Li Kaiyan Huang Fuji Ren Yixin Zhong

作者单位: Beijing University of Posts and Telecommunications, Beijing 100876, China The University of Tokushim The University of Tokushima, Japan The University of Tokushima, Japan Beijing University of Posts and Telecommunications, Beijing 10087 Beijing University of Posts and Telecommunications, Beijing 100876, China

会议类型: 国际会议

会议名称: China-Ireland International Conference on Information and Communications Technologies 2008(2008 中国-爱尔兰信息与通信技术国际会议 CIICT 2008)

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2008-09-26（万方平台首次上网日期，不代表论文的发表时间）