%0 Journal Article
%T Realization on Chinese coreference resolution system based on maximum entropy model<br>基于最大熵模型的中文指代消解系统实现*
%A HU Nai-quan
%A KONG Fang
%A WANG Hai-dong
%A ZHOU Guo-dong
%A ZHU Qiao-ming
%A <br>胡乃全
%A 孔芳
%A 王海东
%A 周国栋
%A 朱巧明
%J 计算机应用研究
%D 2009
%I 
%X This paper realized a Chinese coreference resolution system based on maximum entropy model. Using the information obtained from a pipeline of natural language processing(NLP) modules, this paper extracted 12 features from raw texts, and trained a maximum-entropy-based classifier. Then tested it on ACE05 bnews corpus. The results show that this system is a good system for Chinese coreference resolution research.
%K natural language processing
%K coreference resolution
%K maximum entropy(ME)<br>自然语言处理
%K 指代消解
%K 最大熵
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=60D3C43EB07545B8960DE61A5C831FE2&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=EE8AB80B3B3CC3AC&eid=4F668E76612C7499&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=18