A textual approach for the analysis of health practice guidelines

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. MOTS-CLÉS : analyse discursive, linguistique textuelle, modélisation des connaissances, Guides de Bonnes Pratiques Médicales.