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A Golden Resource for Named Entity Recognition in Portuguese

  • Conference paper
Computational Processing of the Portuguese Language (PROPOR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3960))

Abstract

This paper presents a collection of texts manually annotated with named entities in context, which was used for HAREM, the first evaluation contest for named entity recognizers for Portuguese. We discuss the options taken and the originality of our approach compared with previous evaluation initiatives in the area. We document the choice of categories, their quantitative weight in the overall collection and how we deal with vagueness and underspecification.

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Author information

Authors and Affiliations

  1. Linguateca: Node of Oslo at SINTEF ICT, Portugal

    Diana Santos

  2. Linguateca: Node of XLDB at University of Lisbon, Portugal

    Nuno Cardoso

Authors
  1. Diana Santos
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  2. Nuno Cardoso
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Editor information

Editors and Affiliations

  1. Pontifícia Universidade do Rio Grande do Sul, Porto Alegre, Brasil

    Renata Vieira

  2. Departamento de Informática, Universidade de Évora, Portugal

    Paulo Quaresma

  3. NILC-ICMC, University of São Paulo, CP 668P, 13560-970, São Carlos, SP, Brazil

    Maria das Graças Volpe Nunes

  4. L2F/INESC-ID Lisboa, Email: qa-clef@l2f.inesc-id.pt, Rua Alves Redol, 9, 1000-029, Lisboa, Portugal

    Nuno J. Mamede

  5. Instituto Militar de Engenharia, Praça General Tibúrcio, 80, Rio de Janeiro, Brazil

    Cláudia Oliveira

  6. Pontifícia Universidade Católica do Rio de Janeiro, Rua Marquês de São Vicente, 225, Rio de Janeiro, Brazil

    Maria Carmelita Dias

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© 2006 Springer-Verlag Berlin Heidelberg

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Santos, D., Cardoso, N. (2006). A Golden Resource for Named Entity Recognition in Portuguese. In: Vieira, R., Quaresma, P., Nunes, M.d.G.V., Mamede, N.J., Oliveira, C., Dias, M.C. (eds) Computational Processing of the Portuguese Language. PROPOR 2006. Lecture Notes in Computer Science(), vol 3960. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751984_8

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  • DOI: https://doi.org/10.1007/11751984_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34045-4

  • Online ISBN: 978-3-540-34046-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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