%0 Journal Article
%T Study on Term Relation Extraction from Domain Text<br>术语关系自动抽取方法研究
%A SUN Xi
%A WANG Xiao-feng
%A DONG Le-hong
%A WU Jiang
%A <br>孙霞
%A 王小凤
%A 董乐红
%A 吴江
%J 计算机科学
%D 2010
%I 
%X A term relation extraction approach was proposed. It was cast as a classification task. The hybrid classification algorithm combining the advantages of both naive bayes and perceptron was also presented. In this algorithm, a subset of the features was estimated from training data, and another subset of the features was trained by discriminative function. The experimental results showed that the proposed hybrid algorithm almost always outperforms the naive bayes algorithms and perceptron algorithms when the training set is small.
%K Machine learning
%K Term relation extraction
%K Classification algorithm<br>机器学习
%K 术语关系抽取
%K 混合学习算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=13108152359A4AA8C9D12F539BAF6648&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=0B39A22176CE99FB&sid=3A0155B37D8FF829&eid=AC1578C6BB9EBDEF&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=11