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.
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