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A Machine Learning Approach to Portuguese Pronoun Resolution

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Advances in Artificial Intelligence – IBERAMIA 2008 (IBERAMIA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5290))

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Abstract

Anaphora resolution is an essential component of most NLP applications, from text understanding to Machine Translation. In this work we discuss a supervised machine learning approach to the problem, focusing on instances of anaphora ubiquitously found in a corpus of Brazilian Portuguese texts, namely, third-person pronominal references. Although still limited to a subset of the more general co-reference resolution problem, our present results are comparable to existing work in the field in both English and Portuguese languages, representing the highest accuracy rates that we are aware of in (Brazilian) Portuguese pronoun resolution.

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Author information

Authors and Affiliations

  1. Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH / USP), Av.Arlindo Bettio, 1000 - 03828-000, São Paulo, Brazil

    Ramon Ré Moya Cuevas & Ivandré Paraboni

Authors
  1. Ramon Ré Moya Cuevas
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  2. Ivandré Paraboni
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Editor information

Editors and Affiliations

  1. ICREA & Universitat Pompeu Fabra, Paseo de Circumvalacion 8, 08003, Barcelona, Spain

    Hector Geffner

  2. IST-UTL and INESC-ID, Av. Prof. Cavaco Silva - Taguspark, 2744-016, Porto Salvo, Portugal

    Rui Prada

  3. ADETTI/ISCTE and ISCTE, Lisbon University Institute, Av. das Forças Armadas, 1649-026, Lisbon, Portugal

    Isabel Machado Alexandre

  4. ADETTI/ISCTE and ISCTE, Lisbon University Institute, , Av. das Forças Armadas, 1649-026, Lisbon, Portugal

    Nuno David

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Cuevas, R.R.M., Paraboni, I. (2008). A Machine Learning Approach to Portuguese Pronoun Resolution. In: Geffner, H., Prada, R., Machado Alexandre, I., David, N. (eds) Advances in Artificial Intelligence – IBERAMIA 2008. IBERAMIA 2008. Lecture Notes in Computer Science(), vol 5290. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88309-8_27

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  • DOI: https://doi.org/10.1007/978-3-540-88309-8_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88308-1

  • Online ISBN: 978-3-540-88309-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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