Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Grishman, R., Sundheim, B.: Message Understanding Conference - 6: A Brief History. In: Proc. Int. Conf. on Computational Linguistics, Copenhagen, pp. 466–471 (1996)
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)
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)
NIST. EDT Guidelines for English V4.2.6 (2004), http://www.ldc.upenn.edu/Projects/ACE/docs/EnglishEDTV4-2-6.PDF
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)
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)
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)
Sarmento, L.: BACO – A large database of text and co-occurrences. In: Proc. 5th Int. Conf., on Language Resources and Evaluation, Genoa, Italy (2006)
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)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sarmento, L., Pinto, A.S., Cabral, L. (2006). REPENTINO – A Wide-Scope Gazetteer for 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_4
Download citation
DOI: https://doi.org/10.1007/11751984_4
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)