Topic themes for multi-document summarization

  • Authors:
  • Sanda Harabagiu;Finley Lacatusu

  • Affiliations:
  • Language Computer Corporation, Richardson, TX;Language Computer Corporation, Richardson, TX

  • Venue:
  • Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2005

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Abstract

The problem of using topic representations for multi-document summarization (MDS) has received considerable attention recently. In this paper, we describe five different topic representations and introduce a novel representation of topics based on topic themes. We present eight different methods of generating MDS and evaluate each of these methods on a large set of topics used in past DUC workshops. Our evaluation results show a significant improvement in the quality of summaries based on topic themes over MDS methods that use other alternative topic representations.