REPENTINO – A Wide-Scope Gazetteer for Entity Recognition in Portuguese

  • Luís Sarmento
  • Ana Sofia Pinto
  • Luís Cabral
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3960)


In this paper we describe REPENTINO, a publicly available gazetteer intended to help the development of named entity recognition systems for Portuguese. REPENTINO wishes to minimize the problems developers face due to the limited availability of this type of lexical-semantic resources for Portuguese. The data stored in REPENTINO was mostly extracted from corpora and from the web using simple semi-automated methods. Currently, REPENTINO stores nearly 450k instances of named entities divided in more than 100 categories and subcategories covering a much wider set of domains than those usually included in traditional gazetteers. We will present some figures regarding the current content of the gazetteer and describe future work regarding the evaluation of this resource and its enrichment with additional information.


Classification Structure Name Entity Recognition Entity Recognition Language Resource Name Entity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Grishman, R., Sundheim, B.: Message Understanding Conference - 6: A Brief History. In: Proc. Int. Conf. on Computational Linguistics, Copenhagen, pp. 466–471 (1996)Google Scholar
  2. 2.
    Doddington, G., Mitchell, A., Przybocki, M., Ramshaw, l., Strassel, S., Weischedel, R.: The Automatic Content Extraction (ACE) Program: Tasks, Data, and Evaluation. In: Proc. 4th Int. Conf. on Language Resources and Evaluation, Lisboa, pp. 837–840 (2004)Google Scholar
  3. 3.
    Santos, D., Seco, N., Cardoso, N., Vilela, R.: HAREM: An Advanced NER Evaluation Contest for Portuguese. In: Proc. 5th Int. Conf. on Language Resources and Evaluation, Genoa, Italy (2006)Google Scholar
  4. 4.
    NIST. EDT Guidelines for English V4.2.6 (2004),
  5. 5.
    Sekine, S., Sudo, K., Nobata, C.: Extended Named Entity Hierarchy. In: Proc. 3rd Int. Conf. on Language Resources and Evaluation, Las Palmas, Canary Islands, Spain (2002)Google Scholar
  6. 6.
    Sekine, S., Nobata, C.: Definition, dictionaries and tagger for Extended Named Entity Hierarchy. In: Proc. 4th Int. Conf. on Language Resources and Evaluation, Lisboa, Portugal, pp. 1977–1980 (2004)Google Scholar
  7. 7.
    Pasca, M.: Acquisition of categorized named entities for web search. In: Proc. 13th ACM Conf. on Information & Knowledge management, Washington, D.C., USA, pp. 137–145 (2004)Google Scholar
  8. 8.
    Sarmento, L.: BACO – A large database of text and co-occurrences. In: Proc. 5th Int. Conf., on Language Resources and Evaluation, Genoa, Italy (2006)Google Scholar
  9. 9.
    Sarmento, L.: SIEMÊS – a Named-Entity Recognizer for Portuguese Relying on Similarity Rules. In: Vieira, R., Quaresma, P., Nunes, M.d.G.V., Mamede, N.J., Oliveira, C., Dias, M.C. (eds.) PROPOR 2006. LNCS (LNAI), vol. 3960, pp. 90–99. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  10. 10.
    Hasegawa, T., Sekine, S., Grishman, R.: Discovering Relations among Named Entities from Large Corpora. In: Proc. Annual Meeting of Association of Computational Linguistics (ACL 2004), Barcelona, Spain, pp. 415–422 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Luís Sarmento
    • 1
  • Ana Sofia Pinto
    • 2
  • Luís Cabral
    • 3
  1. 1.Faculdade de Engenharia da Universidade do Porto (NIAD&R)PortoPortugal
  2. 2.Linguateca – Pólo do PortoPortoPortugal
  3. 3.Linguateca – Pólo de OsloBlindernNorway

Personalised recommendations