title: From text to knowledge: a unifying document-centered view of analyzed medical language.
abstract: Although medical language processing (MLP) has achieved some success, the actual use and dissemination of data extracted from free text by MLP systems is still very limited. We claim that the adoption of an 'enriched-document' paradigm (or 'document-centered' view) can help to address this issue. We present this paradigm and explain how it can be implemented, then discuss its expected benefits both for end-users and MLP researchers.
authors.affiliation: Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris. pz@biomath.jussieu.fr
authors.forename: P
authors.initials: P
authors.lastname: Zweigenbaum
authors.forename: J
authors.initials: J
authors.lastname: Bouaud
authors.forename: B
authors.initials: B
authors.lastname: Bachimont
authors.forename: J
authors.initials: J
authors.lastname: Charlet
authors.forename: B
authors.initials: B
authors.lastname: Séroussi
authors.forename: J F
authors.initials: JF
authors.lastname: Boisvieux
mesh_terms: D001185:Artificial Intelligence; D004282:Documentation; D006801:Humans; D016247:Information Storage and Retrieval; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D012984:Software; D009626:Terminology as Topic