title: Knowledge sources for Natural Language Processing.
abstract: This paper aims at reviewing the problem of feeding Natural Language Processing (NLP) tools with convenient linguistic knowledge in the medical domain. A syntactic approach lacks the potential to solve a number of typical situations with ambiguities and is clearly insufficient for quality treatment of natural language. On the other hand, a conceptual approach relies on some modelling of the domain, of which the elaboration is d long-term process and where the ultimate solutions are far from being recognised and universally accepted. In-between is the beauty of the compromise. How can we significantly improve the coverage of linguistic knowledge in the years to come?
authors.affiliation: Division d'Informatique Médicale, University Hospital of Geneva, Switzerland.
authors.forename: R H
authors.initials: RH
authors.lastname: Baud
authors.forename: A M
authors.initials: AM
authors.lastname: Rassinoux
authors.forename: C
authors.initials: C
authors.lastname: Lovis
authors.forename: J
authors.initials: J
authors.lastname: Wagner
authors.forename: V
authors.initials: V
authors.lastname: Griesser
authors.forename: P A
authors.initials: PA
authors.lastname: Michel
authors.forename: J R
authors.initials: JR
authors.lastname: Scherrer
mesh_terms: D001185:Artificial Intelligence; D008037:Linguistics; D009323:Natural Language Processing; D012660:Semantics; D017432:Unified Medical Language System; D018875:Vocabulary, Controlled