Coreference resolution between sources of opinions in Spanish texts

This paper presents a system that identifies coreferent elements in Spanish texts, with the purpose of contributing to an opinion extraction project. In particular, the system looks for the actual source when it is not identified in the opinion and solves coreferences between opinion sources in digital media texts in Spanish. The developed system takes as input texts where the opinions have already been identified, and uses syntactic and semantic information to identify the relationships between the different entities, in order to create coreference chains between the sources of the opinions in the text. The algorithm uses a score method to select the correct antecedent between the candidates. It achieved a precision of 82.8% and a recall of 85.6%.