In this paper we describe the QA system developed for taking part in Res-PubliQA 2009. Our system was
composed by an IR phase focused on improving QA results, a validation step for removing paragraphs
that are not promising and a module based on ngrams overlapping for selecting the final answer.
Furthermore, a selection module that uses lexical entailment in combination with ngrams overlapping
was developed in English. The IR module achieved very promising results that were improved by the
ngram ranking. Moreover, the ranking was slightly improved when lexical entailment was used.