%0 Journal Article
%T Research of Event Anaphora Resolution Based on Machine Learning Approach<br>基于机器学习方法的事件指代消歧研究
%A ZHANG Ning
%A KONG Fang
%A LI Pei-feng
%A ZHU Qiao-ming
%A <br>张宁
%A 孔芳
%A 李培峰
%A 朱巧明
%J 计算机科学
%D 2012
%I 
%X In event anaphora resolution, the antecedent of the anaphor is an event and the anaphor is a noun phrase.They are parts of different semantic categorization systems. So most of features applied in entity anaphora resolution are not appropriate for event anaphora resolution. hhis paper proposed an event anaphora resolution framework using a machine learning approach. The instances creation and the features selection were presented in detail. This paper also illustrated the experiment results on OntoNotes 3. 0 corpus. From the results we can find that the recall of the framework is very good, but the precision must be improved in the further work.
%K Event anaphora resolution
%K Machine learning approach
%K Instances creation
%K Features selection<br>事件指代消歧
%K 机器学习方法
%K 实例生成
%K 特征选择
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=B7F12897AF64E41714B0A88F4E36A008&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=94C357A881DFC066&sid=F8035C8B7D8A4264&eid=FD7C952458BFB5D8&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0