Contrastive summarization: an experiment with consumer reviews

  • Authors:
  • Kevin Lerman;Ryan McDonald

  • Affiliations:
  • Columbia University, New York, NY;Google Inc., New York, NY

  • Venue:
  • NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
  • Year:
  • 2009

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Abstract

Contrastive summarization is the problem of jointly generating summaries for two entities in order to highlight their differences. In this paper we present an investigation into contrastive summarization through an implementation and evaluation of a contrastive opinion summarizer in the consumer reviews domain.