分析结果显示，最常用的知识资源是局部上下文。

The results reveal that the most frequently used knowledge source was the local co-text .

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介绍一种局部上下文分析(LCA)剪枝概念树的方法。

This paper proposes a novel query expansion method using Local Context Analysis (LCA) based concept tree pruning.

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本文提出了全局上下文属性和局部上下文属性两类属性作为分类模型的特征属性。

Two kinds of features, global context feature and local context feature, are proposed as the classification features.

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