A clustering method for news articles retrieval system

  • Toda H
  • Kataoka R
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Abstract

Organizing the results of a search facilitates the user in overviewing the information returned. We regard the clustering task as the tasks of making labels for a list of items and we focus on news articles and propose a clustering method that uses named entity extraction.

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Authors

  • Hiroyuki Toda

  • Ryoji Kataoka

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