CISUC

PAPEL: a dictionary-based lexical ontology for Portuguese

Authors

Abstract

This paper describes a project aimed at creating a lexical
ontology extracted (semi) automatically from a large Portuguese general
dictionary. Although using machine readable dictionaries to extract semantic
information is not new, we believe this is the first attempt for
the Portuguese language. The paper describes a (to be) freely available
resource, dubbed PAPEL, explaining the process used and the tools developed,
and illustrating it with one specific relation: Causation.

Keywords

lexical ontology dictionary automatic extraction semantic relations

Subject

Natural Language Processing

Related Project

PAPEL - Palavras Associadas Porto Editora Linguateca

Conference

PROPOR 2008 - International Conference on Computational Processing of Portuguese, September 2008


Cited by

Year 2017 : 1 citations

 de Almeida, W. R. (2017). PortService-BR: Uma plataforma para processamento de linguagem natural para língua portuguesa. Master’s thesis, Universidade Federal do Esprito Santo, Vitória.

Year 2016 : 1 citations

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Year 2015 : 5 citations

 Livy Real and Fabricio Chalub and Valeria de Paiva and Cláudia Freitas and Alexandre Rademaker (2015). Seeing is correcting: curating lexical resources using social interfaces. In Proceedings of the 4th Workshop on Linked Data in Linguistics: Resources and Applications, pages 20–29, Beijing, China. ACL Press.

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 Rita Policarpo (2015). Semantic classification of nouns. Master’s thesis, Instituto Superior Técnico.

 Marcos Garcia and Pablo Gamallo. Exploring the effectiveness of linguistic knowledge for biographical relation extraction. Natural Language Engineering, Volume 21, Issue 4, pp 519-551. 2015.

Year 2014 : 7 citations

 Ilia Markov, Nuno Mamede, Jorge Baptista. Body-Part Nouns and Whole-Part Relations in Portuguese. Proceedings of International Conference on the Computational Processing of the Portuguese Language (PROPOR 2014), LNCS, Volume 8775, pp 125-136. Springer, 2014.

 Cláudia Freitas, Valeria de Paiva, Alexandre Rademaker, Gerard de Melo, Livy Real, Anne Silva. Extending a Lexicon of Portuguese Nominalizations with Data from Corpora. Proceedings of International Conference on the Computational Processing of the Portuguese Language (PROPOR 2014), LNCS, Volume 8775, pp 114-124. Springer 2014.

 Brett Drury, Paula C.F. Cardoso, Janie M. Thomas, Alneu de Andrade Lopes. Lexical Resources for the Identification of Causative Relations in Portuguese Texts. Proceedings of the 1st Workshop on Tools and Resources for Automatically Processing Portuguese and Spanish (ToRPorEsp), pp 56-63. São Carlos, SP, Brasil. 2014

 Ilia Markov, Nuno Mamede, Jorge Baptista. Whole-part relations rule-based automatic identification: Issues from fine-grained error analysis. In Proceedings of 13th Mexican International Conference on Artificial Intelligence, Part I, volume 8856 of LNCS, pages 37–50. Springer. 2014.

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Year 2013 : 2 citations

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Year 2012 : 2 citations

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Year 2011 : 5 citations

 José Saias and Paulo Quaresma. Semantic networks and spreading activation process for QA improvement on text answers. In Proceedings of the 8th Brazilian Symposium in Information and Human Language Technology - STIL2011, Mato Grosso, Brasil, 2011.

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Year 2010 : 6 citations

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Year 2008 : 2 citations

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 Liliana Ferreira & António Teixeira, "Linguateca e Processamento de Linguagem Natural na Área da Saúde: Alguns Comentários e Sugestões". In Luís Costa, Diana Santos & Nuno Cardoso (eds.), Perspectivas sobre a Linguateca / Actas do encontro Linguateca : 10 anos. Linguateca, 2008, pp. 43-48.