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Extrinsic Evaluation on Automatic Summarization Tasks: Testing Affixality Measurements for Statistical Word Stemming

  • Carlos-Francisco Méndez-Cruz
  • Juan-Manuel Torres-Moreno
  • Alfonso Medina-Urrea
  • Gerardo Sierra
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7630)

Abstract

This paper presents some experiments of evaluation of a statistical stemming algorithm based on morphological segmentation. The method estimates affixality of word fragments. It combines three indexes associated to possible cuts. This unsupervised and language-independent method has been easily adapted to generate an effective morphological stemmer. This stemmer has been coupled with Cortex, an automatic summarization system, in order to generate summaries in English, Spanish and French. Summaries have been evaluated using ROUGE. The results of this extrinsic evaluation show that our stemming algorithm outperforms several classical systems.

Keywords

Automatic summarization Affixality Measurements Morphological Segmentation Statistical Stemming CORTEX 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Carlos-Francisco Méndez-Cruz
    • 1
    • 4
  • Juan-Manuel Torres-Moreno
    • 1
    • 2
  • Alfonso Medina-Urrea
    • 3
  • Gerardo Sierra
    • 4
  1. 1.LIA-Université d’Avignon et des Pays de VaucluseFrance
  2. 2.École Polytechnique de MontréalCanada
  3. 3.El Colegio de México A.C.México
  4. 4.GIL-Instituto de Ingeniería UNAMMéxico

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