Knowledge sources for Natural Language Processing.
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?
Baud
R H
RH
Division d'Informatique Médicale, University Hospital of Geneva, Switzerland.
Rassinoux
A M
AM
Lovis
C
C
Wagner
J
J
Griesser
V
V
Michel
P A
PA
Scherrer
J R
JR
D001185:Artificial Intelligence; D008037:Linguistics; D009323:Natural Language Processing; D012660:Semantics; D017432:Unified Medical Language System; D018875:Vocabulary, Controlled