A textual approach for the analysis of health practice guidelines Une approche textuelle pour l'analyse de textes de recommandations médicales

NLP is mainly focused on words and sentences even if most people agree that a better understanding of text structure could help extracting knowledge. In this article we show that, in certain domains, textual approaches are relevant for NLP, taking as an example a specific task related to the medical domain: the automatic modelling of health practice guidelines. Our system, GemFrame, is capable of automatically structuring Health Practice Guidelines. We propose a strategy based on the recognition of linguistic features. The system has been validated on three complementary aspects: usefulness, performances and relevance of the method.