Portuguese pronoun resolution: resources and evaluation

Authors:
Ramon Ré Moya Cuevas;Willian Yukio Honda;Diego Jesus De Lucena;Ivandré Paraboni;Patrícia Rufino Oliveira
Affiliations:
Escola de Artes, Ciências e Humanidades, Universidade de São Paulo, São Paulo, Brazil;Escola de Artes, Ciências e Humanidades, Universidade de São Paulo, São Paulo, Brazil;Escola de Artes, Ciências e Humanidades, Universidade de São Paulo, São Paulo, Brazil;Escola de Artes, Ciências e Humanidades, Universidade de São Paulo, São Paulo, Brazil;Escola de Artes, Ciências e Humanidades, Universidade de São Paulo, São Paulo, Brazil
Venue:
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Year:
2008

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Abstract

Despite being one of the most widely-spoken languages in the world, Portuguese remains a relatively resource-poor language, for which only in recently years NLP tools such as parsers, taggers and (fairly) large corpora have become available. In this work we describe the task of pronominal co-reference annotation and resolution in Portuguese texts, in which we take advantage of information provided by a tagged corpus and a simple annotation tool that has been developed for this purpose. Besides developing some of these basic resources from scratch, our ultimate goal is to investigate the multilingual resolution of Portuguese personal pronouns to improve the accuracy of their translations to both Spanish and English in an underlying MT project.