%0 Journal Article
%T Chinese named entity recognition system using statistics-based and rules-based method<br>一个统计与规则相结合的中文命名实体识别系统
%A XIANG Xiao-wen
%A SHI Xiao-dong
%A ZENG Hua-lin
%A <br>向晓雯
%A 史晓东
%A 曾华琳
%J 计算机应用
%D 2005
%I 
%X This paper presented a Chinese named entity recognition system that combined the statistics-based and rulesbased method, The whole process was divided into two steps. First to use the hidden Markov model for part-of-speech tagging, and then made use of match rules to amend and convert the result of the HMM step. The system also made an attempt at context-sensitive Chinese named entity recognition. In a named entity test organized by the 863 program, the precision, recall and F-score of the system reach 81.93%, 78.20% and 80.02% respectively.
%K named entity
%K hidden Markov model
%K match rules<br>命名实体
%K 隐马尔可夫模型
%K 匹配规则
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=A191861AFC0B1283&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=F3090AE9B60B7ED1&sid=B9A14123527DFCC6&eid=FC88349D0A03DF78&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8