哈尔滨工业大学学报（英文版）2007，Vol.14Issue(1)：79-82,4.
Research on Chinese place name recognition based on kernel classifier
Research on Chinese place name recognition based on kernel classifier
摘要
Abstract
A SVMs (Support Vector Machines) based method to identify Chinese place names is presented. In our approach, place name candidate is located according to a rational forming assumption, then SVMs based identification strategy is used to distinguish whether one candidate is true place name or not. Referring to linguistic knowledge, basic semanteme of a contextual word and frequency information of words inside place name candidate are selected as features in our methodology. So dimension in the feature space is reduced dramatically and processing procedure is performed more efficiently. Result of open testing on unregistered place names achieves F-measure 83. 25 in 8. 17 million words news based on this project.关键词
SVMs/Chinese place name/feature selection/semanteme/kernel functionKey words
SVMs/Chinese place name/feature selection/semanteme/kernel function分类
信息技术与安全科学引用本文复制引用
YU Ying,WANG Xiao-long,LIU Bing-quan,WANG Hui..Research on Chinese place name recognition based on kernel classifier[J].哈尔滨工业大学学报（英文版）,2007,14(1):79-82,4.基金项目
Sponsored by the National Natural Science Foundation of China (Grant No. 60175020 and 60673037) and the National High Technology Research and Development Program of China (Grant No. 2002AA117010 -09). （Grant No. 60175020 and 60673037）
