SINAI at RTE-7: Integrating Personalized Page Rank Vectors into EDITS

This document describes the participation of the SINAI Research Group in the 7 challenge on Recognition of Textual Entailment (RTE). Our approach extends the promising results obtained in the last campaing into a well know framework for textual entailment recognition known as EDITS. Although the proposed solution is modest, results encourage us in the use of Personalized Page Rank as a technique for generating weighted vectors of synsets per term in texts and applying distance metrics to compute a value of lexical similarity between terms found in hypotheses and those in candidate texts.