%0 Journal Article
%T Answer Extraction Based on Weighted Latent Semantic Analysis<br>基于加权潜在语义分析的答案抽取
%A CHEN Yong-Ping
%A YANG Si-Chun
%A SU Xin
%A MAO Wan-Sheng
%A <br>陈永平
%A 杨思春
%A 苏新
%A 毛万胜
%J 计算机系统应用
%D 2012
%I 
%X Question answering system returns precise and concise answers for user questions in natural language,and its core technology is answer extraction.Based on weight importance of different key words in user＇ questions and returned documents,a method for computing keyword weight is proposed.In the meantime,the weighted Latent Semantic Analysis technique is also introduced in this process.Experimental results show that the MRR of the proposed method is better than that of Vector Space Model,and gets a more satisfactory performance.
%K answer question system
%K answer extracting
%K latent semantic analysis（LSA）
%K vector space model（VSM）<br>问答系统
%K 答案抽取
%K 潜在语义分析
%K 空间向量模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=57C6AD9B0ADA05371F46C0EE2C4081BF&yid=99E9153A83D4CB11&vid=659D3B06EBF534A7&iid=CA4FD0336C81A37A&sid=1371F55DA51B6E64&eid=1AE5323881A5ECDC&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=13