摘要

The algorithm for semantic similarity of short text is used widely in document retrieval, information extraction and text mining. An algorithm for semantic similarity of short text named ST-CW is presented. The algorithm calculates semantic similarity of concept based on WordNet and The Brown Corpus, and then a formula is presented which refers to both concept similarity and syntactic information in short text. The evaluations are conducted on R and B and Miller dataset.

  • 出版日期2012

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