Multilingual summarization evaluation without human models

  • Authors:
  • Horacio Saggion;Juan-Manuel Torres-Moreno;Iria da Cunha;Eric SanJuan

  • Affiliations:
  • Universitat Pompeu Fabra;LIA/Université d'Avignon;LIA/Université d'Avignon;LIA/Université d'Avignon

  • Venue:
  • COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
  • Year:
  • 2010

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Abstract

We study correlation of rankings of text summarization systems using evaluation methods with and without human models. We apply our comparison framework to various well-established content-based evaluation measures in text summarization such as coverage, Responsiveness, Pyramids and Rouge studying their associations in various text summarization tasks including generic and focus-based multi-document summarization in English and generic single-document summarization in French and Spanish. The research is carried out using a new content-based evaluation framework called Fresa to compute a variety of divergences among probability distributions.