%0 Journal Article
%T Semantically Improved Automatic Keyphrase Extraction<br>基于语义的关键词提取算法
%A FANG Jun
%A GUO Lei
%A WANG Xiao-dong
%A <br>方俊
%A 郭雷
%A 王晓东
%J 计算机科学
%D 2008
%I 
%X Keyphrases provide semantic metadata producing an overview of the content of a document, they are used in many text-mining applications. In the process of keyphrases generation, we notice that the distinction between lexical level (term for meaning) and conceptual level (the meaning itself) can result in inaccuracy. In order to solve this problem, this paper proposes a new method that improves automatic keyphrase extraction by using semantic information of candidate keyphrases. Our keyphrases extraction met...
%K Keyphrae extraction
%K Semantic relatedness
%K Word sense disambiguation<br>关键词提取
%K 语义相关度
%K 消歧
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=F398683D51025F073AA1AB187AFEABDC&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=B31275AF3241DB2D&sid=856C2E13D1000DB7&eid=70AC2EF7F2065E09&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=11