%0 Journal Article
%T Research of Chinese Noun Phrase Anaphora Resolution : A SVM-based Approach<br>基于SVM的中文名词短语指代消解研究
%A GAO Jun-wei
%A KONG Fang
%A ZHU Qiao-ming
%A LI Pei-feng
%A <br>高俊伟
%A 孔芳
%A 朱巧明
%A 李培峰
%J 计算机科学
%D 2012
%I 
%X Coreference resolution is an important subtask in natural language processing systems. In natural language, to make the natural language clear and explicit illusions, it is common that two or more words, sentences or events which have the same meaning are replaced by different words. In compare to people, it is difficult to understand these phenomenon by using the computer, so more and more researchers focus on noun phrases coreference resolution. A great deal of research has been done on this task in English. In Chinese, because the research about coreference resolution starts late,much less work is done in this area. We presented a Chinese noun phrase coreference resolution system based on a SVM approach and gave the details of the platform in the paper. We adopted three tools to evaluate the performance of the platform. Experiments on the Chinese portion of OntoNotes 3. 0 show that the platform achieves a good performance.
%K Coreferencc resolution
%K Noun phrase
%K Natural language processing
%K SVM<br>指代消解
%K 名词短语
%K 自然语言处理
%K SVM
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A97816070393C026A78D440FD961233F&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=F3090AE9B60B7ED1&sid=FA89360EB995A8AD&eid=D9AE183D3F5C3C75&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0