Cover Coefficient-Based Multi-document Summarization

  • Authors:
  • Gonenc Ercan;Fazli Can

  • Affiliations:
  • Computer Engineering Department, Bilkent University, Ankara, Turkey;Computer Engineering Department, Bilkent University, Ankara, Turkey

  • Venue:
  • ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
  • Year:
  • 2009

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Abstract

In this paper we present a generic, language independent multi-document summarization system forming extracts using the cover coefficient concept. Cover Coefficient-based Summarizer (CCS) uses similarity between sentences to determine representative sentences. Experiments indicate that CCS is an efficient algorithm that is able to generate quality summaries online.