BRAVO is devoted to research on technologies to improve the answers search in both text and voice, and the main result is a platform for a modular answers search system which allows to measure the improvement of different techniques for questions classification, answer extraction, passages retrieval, etc. SPINDEL is one of the techniques developed in this project, an entity recognizer which, regardless of language, applies machine learning based on bootstrapping.

APEINTA is an educational project that aims for inclusive education for every student of all abilities in and out of the classroom. We propose to use new computer science and electronic technologies in order to avoid learning barriers that we can unfortunately find already in the educational environment. The APEINTA project is focused in two main inclusive proposals: One Inside the classroom and the other one Outside the classroom. 1.The Inside the classroom proposal is to use two mechanisms in order to eliminate students’ communication barriers.