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Distinguishing between Instances and Classes in the Wikipedia Taxonomy

机译:在Wikipedia分类中区分实例和类

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This paper presents an automatic method for differentiating between instances and classes in a large scale taxonomy induced from the Wikipedia category network. The method exploits characteristics of the category names and the structure of the network. The approach we present is the first attempt to make this distinction automatically in a large scale resource. In contrast, this distinction has been made in WordNet and Cyc based on manual annotations. The result of the process is evaluated against Research Cyc. On the subnetwork shared by our taxonomy and ResearchCyc we report 84.52% accuracy.
机译:本文提出了一种自动方法,用于区分由维基百科类别网络引起的大规模分类中的实例和类。该方法利用类别名称的特征和网络的结构。我们提出的方法是在大规模资源中自动进行这种区分的首次尝试。相反,这种区别是在WordNet和Cyc中基于手动注释进行的。该过程的结果根据Research Cyc进行评估。在我们的分类法和ResearchCyc共享的子网中,我们报告的准确性为84.52%。

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