using the technique of explicit semantic analysis, we map web query into the space of wikipedia concept. then the traditional classification method can be applied in the wikipedia concept space instead of the conventional word space.
通过显式语义分析方法将Web查询映射到Wikipedia概念空间中,然后在该概念空间中利用类似于传统文本分类的方法进行分类。
based on the specific situation ( success, failure) of query disambiguation, two distinct types of document semantic relevance measure, namely semantic vector space model based document relevance and word vector space model based document relevance, are proposed in this dissertation.
本文根据查询消歧的具体情况(成功、失败),提出两种文档语义相关性度量的方法:基于语义向量空间模型的文档相关性和基于词汇向量空间模型的文档相关性。
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