Abstract

In this paper, an algorithm in order to solve definite descriptions in Spanish texts with the same head noun as their antecedent is presented. This algorithm is based on the relationships between pre and post-modifier of both noun phrase (antecedent and anaphoric expression). This algorithm only considers as an antecedent all kinds of noun phrase, but do not considers other kinds of antecedents like sentences or full text. This algorithm has achieved an average precision score of 83.6%.KeywordsNoun PhraseSemantic RelationHeuristic RuleHead NounProper NounThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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