Pattern Structures for News Clustering

نویسندگان

  • Tatyana P. Makhalova
  • Dmitry I. Ilvovsky
  • Boris A. Galitsky
چکیده

Usually web search results are represented as long list of document snippets. It is difficult for users to navigate through this collection of text. We propose clustering method that uses pattern structure constructed on augmented syntactic parse trees. In addition, we compare our method to other clustering methods and demonstrate the limitations of the competitive methods.

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تاریخ انتشار 2015