enriching the lexica of the Freeling analyzer with bio-medical terms extracted from
dictionaries and ontologies as SNOMED CT, the system is able to automatically detect
medical terms in texts. An evaluation has been performed against a manually tagged corpus
focusing on entities referring to pharmaceutical drug-names, substances and diseases. The
obtained results show that a good annotation tool would help to leverage subsequent …