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Spreading Activation: A Fast Calculation Method for Text Centroids

机译:传播激活:文本质心的快速计算方法

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摘要

Centroids are comfortable instruments to represent queries and whole texts by single descriptive terms. They can be used to determine the similarity of textual contents and to (hierarchically) cluster sets of documents. However, their computation strictly following the concept's definition may use a plenty of time and hinder any practical application. A more demonstrative view on the meaning and topological interpretation of the definition leads to the derivation of a graph-based algorithm using the well-known spreading activation technique, which is described in this contribution. The experimental results obtained using co-occurrence graphs of varying sizes underline the high performance of this method which is - last but not least - brought about by its clear local working principle.
机译:质心是使用单个描述性术语表示查询和全文的便捷工具。它们可用于确定文本内容的相似性,以及(分层)对文档集进行聚类。但是,严格按照概念的定义进行计算可能会花费大量时间,并妨碍任何实际应用。关于定义的含义和拓扑解释的更具说明性的观点导致了使用众所周知的扩展激活技术推导基于图的算法,对此贡献进行了描述。使用不同大小的共现图获得的实验结果强调了该方法的高性能,这是最后但并非最不重要的方法,它是由其清晰的局部工作原理带来的。

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  • 来源
    《Fortschritt-Berichte VDI》 |2019年第863期|27-37|共11页
  • 作者单位

    University of Hagen, Germany;

    Institute for Mathematics, Ilmenau University of Technology, Germany;

    University of Hagen, Germany;

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  • 正文语种 eng
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