Improving Text Summarization Using Noun Retrieval Techniques

  • Authors:
  • Christos Bouras;Vassilis Tsogkas

  • Affiliations:
  • Research Academic Computer Technology Institute, N. Kazantzaki, Panepistimioupoli and Computer Engineering and Informatics Department, University of Patras, Greece;Research Academic Computer Technology Institute, N. Kazantzaki, Panepistimioupoli and Computer Engineering and Informatics Department, University of Patras, Greece

  • Venue:
  • KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
  • Year:
  • 2008

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Abstract

Text Summarization and categorization have always been two of the most demanding information retrieval tasks. Deploying a generalized, multi-functional mechanism that produces good results for both of the aforementioned tasks seems to be a panacea for most of the text-based, information retrieval needs. In this paper, we present the keyword extraction techniques, exploring the effects that part of speech tagging has on the summarization procedure of an existing system.