Automatic Text Summarization with a Reduced Vocabulary Using Continuous Space Vectors

  • Elvys Linhares PontesEmail author
  • Stéphane Huet
  • Juan-Manuel Torres-Moreno
  • Andréa Carneiro Linhares
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9612)


In this paper, we propose a new method that uses continuous vectors to map words to a reduced vocabulary, in the context of Automatic Text Summarization (ATS). This method is evaluated on the MultiLing corpus by the ROUGE evaluation measures with four ATS systems. Our experiments show that the reduced vocabulary improves the performance of state-of-the-art systems.


Word embedding Text summarization Vocabulary reduction 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Elvys Linhares Pontes
    • 1
    Email author
  • Stéphane Huet
    • 1
  • Juan-Manuel Torres-Moreno
    • 1
    • 2
  • Andréa Carneiro Linhares
    • 3
  1. 1.LIAUniversité d’Avignon et des Pays de VaucluseAvignonFrance
  2. 2.École Polytechnique de MontréalMontréalCanada
  3. 3.Universidade Federal do CearáSobralBrazil

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