The power and limits of a rule-based morpho-semantic parser.
The venue of Electronic Patient Record (EPR) implies an increasing amount of medical texts readily available for processing, as soon as convenient tools are made available. The chief application is text analysis, from which one can drive other disciplines like indexing for retrieval, knowledge representation, translation and inferencing for medical intelligent systems. Prerequisites for a convenient analyzer of medical texts are: building the lexicon, developing semantic representation of the domain, having a large corpus of texts available for statistical analysis, and finally mastering robust and powerful parsing techniques in order to satisfy the constraints of the medical domain. This article aims at presenting an easy-to-use parser ready to be adapted in different settings. It describes its power together with its practical limitations as experienced by the authors.
Baud
R H
RH
Medical Informatics Division, University Hospital of Geneva, Switzerland.
Rassinoux
A M
AM
Ruch
P
P
Lovis
C
C
Scherrer
J R
JR
D006801:Humans; D007802:Language; D016347:Medical Records Systems, Computerized / Q000145:classification*; D012660:Semantics; D009626:Terminology as Topic