A Machine Learning Approach to Portuguese Pronoun Resolution

Authors:
Ramon Ré Cuevas;Ivandré Paraboni
Affiliations:
Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH / USP), São Paulo, Brazil 1000 - 03828-000;Escola de Artes, Ciências e Humanidades, Universidade de São Paulo (EACH / USP), São Paulo, Brazil 1000 - 03828-000
Venue:
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
Year:
2008

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Abstract

Anaphora resolution is an essential component of most NLP applications, from text understanding to Machine Translation. In this work we discuss a supervised machine learning approach to the problem, focusing on instances of anaphora ubiquitously found in a corpus of Brazilian Portuguese texts, namely, third-person pronominal references. Although still limited to a subset of the more general co-reference resolution problem, our present results are comparable to existing work in the field in both English and Portuguese languages, representing the highest accuracy rates that we are aware of in (Brazilian) Portuguese pronoun resolution.