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International Conference on Computational Processing of the Portuguese Language

PROPOR 2014: Computational Processing of the Portuguese Language pp 176–182Cite as

On the Utility of Portuguese Term-Based Lexical-Semantic Networks

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8775))

Abstract

This paper discusses the utility of term-based lexical networks, with focus on Portuguese. Although less complex and often undervalued towards wordnets, for Portuguese, these resources have been used in varied natural language processing tasks. We enumerate those, and then introduce a larger resource of this kind together with two additional tasks where it was useful.

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Author information

Authors and Affiliations

  1. CISUC, Dept. of Informatics Engineering, University of Coimbra, Portugal

    Hugo Gonçalo Oliveira

Authors
  1. Hugo Gonçalo Oliveira
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Editor information

Editors and Affiliations

  1. FCHS, Universidade do Algarve, Campus de Gambelas,, 8005-139, Faro, Portugal

    Jorge Baptista

  2. INESC-ID Lisboa, Lisbon, Portugal

    Nuno Mamede

  3. IT-University of Coimbra, Coimbra, Portugal

    Sara Candeias

  4. USP-EACH, São Paulo-SP, Brazil

    Ivandré Paraboni

  5. USP-ICMC, Universidade de São Paulo, São Carlos, SP, Brazil

    Thiago A. S. Pardo

  6. SCC-ICMC, University of São Paulo, São Carlos, SP, Brazil

    Maria das Graças Volpe Nunes

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© 2014 Springer International Publishing Switzerland

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Gonçalo Oliveira, H. (2014). On the Utility of Portuguese Term-Based Lexical-Semantic Networks. In: Baptista, J., Mamede, N., Candeias, S., Paraboni, I., Pardo, T.A.S., Volpe Nunes, M.d.G. (eds) Computational Processing of the Portuguese Language. PROPOR 2014. Lecture Notes in Computer Science(), vol 8775. Springer, Cham. https://doi.org/10.1007/978-3-319-09761-9_18

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  • DOI: https://doi.org/10.1007/978-3-319-09761-9_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09760-2

  • Online ISBN: 978-3-319-09761-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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