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Document Summarization using Wikipedia

  • Krishnan Ramanathan
  • Yogesh Sankarasubramaniam
  • Nidhi Mathur
  • Ajay Gupta

Abstract

Although most of the developing world is likely to first access the Internet through mobile phones, mobile devices are constrained by screen space, bandwidth and limited attention span. Single document summarization techniques have the potential to simplify information consumption on mobile phones by presenting only the most relevant information contained in the document. In this paper we present a language independent single-document summarization method. We map document sentences to semantic concepts in Wikipedia and select sentences for the summary based on the frequency of the mapped-to concepts. Our evaluation on English documents using the ROUGE package indicates our summarization method is competitive with the state of the art in single document summarization.

Keywords

Mobile Phone Bipartite Graph Semantic Concept English Document Text Summarization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Indian Institute of Information Technology, India 2009

Authors and Affiliations

  • Krishnan Ramanathan
    • 1
  • Yogesh Sankarasubramaniam
    • 1
  • Nidhi Mathur
    • 1
  • Ajay Gupta
    • 1
  1. 1.HP LaboratoriesBangaloreIndia

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