%0 Journal Article
%T A Method of Automatic Recognition for Chinese Organization Name Based on SVM/RS<br>一种基于SVM/RS的中文机构名称自动识别方法
%A Yu Ying
%A Wang Xiao-long
%A Liu Bing-quan
%A <br>宇 缨
%A 王晓龙
%A 刘秉权
%J 电子与信息学报
%D 2006
%I 
%X A method to identify Chinese organization names by utilizing SVM (Support Vector Machines) and RS (Rough Set) is provided. Forming rule of organization name is defined based on semanteme collocation relation, and then the un-redundancy set of rough forming rules can be learned by employing attribute reduction in RS automatically. A chain of words matching forming rule is selected first as candidate, then a SVM classifier discern whether a candidate is real organization name according to candidate semanteme and its contextual semanteme while recognizing. Results of open testing achieve F-measure 82.06% in 16.17 million words news based on this project separately.
%K SVM<br>模式识别
%K 特征选择
%K 语义
%K 粗糙集
%K 语义搭配
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=A662D56DAB1E54EE&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=94C357A881DFC066&sid=2DEC3FE1EFC628C2&eid=F3FF3E69C64937E9&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=4&reference_num=14