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SuPor: An Environment for AS of Texts in Brazilian Portuguese

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Advances in Natural Language Processing (EsTAL 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3230))

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Abstract

This paper presents SuPor, an environment for extractive Automatic Summarization of texts written in Brazilian Portuguese, which can be explored by a specialist on AS to select promising strategic features for extraction. By combining any number of features, SuPor actually entitles one to investigate the performance of distinct AS systems and identify which groups of features are more adequate for Brazilian Portuguese. One of its systems has outperformed six other extractive summarizers, signaling a significant grouping of features, as shown in this paper.

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Author information

Authors and Affiliations

  1. Departamento de Computação, Universidade Federal de São Carlos (UFSCar), Brazil

    Lucia Helena Machado Rino

  2. Coordenação de Sistemas de Informação Faculdade Seama, Núcleo Interinstitucional de Lingüística Computacional (NILC/São Carlos), Brazil

    Marcelo Módolo

Authors
  1. Lucia Helena Machado Rino
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  2. Marcelo Módolo
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Editor information

Editors and Affiliations

  1. Department of Software and Computing Systems, University of Alicante, Spain

    José Luis Vicedo

  2. Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain

    Patricio Martínez-Barco

  3. Grupo de investigación del Procesamiento del Lenguaje y Sistemas de Información, Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Alicante, Spain

    Rafael Muńoz

  4. Departamento de Lenguajes y Sistemas Informáticos, Carretera de San Vicente del Raspeig, Universidad de Alicante, 03690 San Vicente del Raspeig, Alicante, Spain

    Maximiliano Saiz Noeda

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Rino, L.H.M., Módolo, M. (2004). SuPor: An Environment for AS of Texts in Brazilian Portuguese. In: Vicedo, J.L., Martínez-Barco, P., Muńoz, R., Saiz Noeda, M. (eds) Advances in Natural Language Processing. EsTAL 2004. Lecture Notes in Computer Science(), vol 3230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30228-5_37

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  • DOI: https://doi.org/10.1007/978-3-540-30228-5_37

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