We used the CRF-based system developed for disorder recognition in English and enhanced with French knowledge resources to recognize 10 types of clinic named entities from French medical texts: Anatomy  ...  In this paper we present the results of our participation in the Task 1b of the 2015 CLEFeHealth challenge, whose goal was the identification of clinical entities of various types from medical texts in  ...  In this paper we present a supervised CRF-based named entity recognition (NER) system that is capable of recognizing 10 types of clinical named entities from French medical texts: Anatomy, Chemical and  ...