title: Tagging medical texts: a rule-based experiment.
abstract: In this paper we describe the construction of a part-of-speech tagger for medical document retrieval purposes, therefore we have designed a specific architecture called minimal commitment. The system uses local grammatical rules for conducting the disambiguation task. Four evaluations are conducted, with and without taking unknown words into account. In between each evaluation the modules (lexicon, guesser, rules) of the system are incrementally improved.
authors.affiliation: Medical Informatics Division, University Hospital of Geneva, Geneva, Switzerland.
authors.forename: P
authors.initials: P
authors.lastname: Ruch
authors.forename: P
authors.initials: P
authors.lastname: Bouillon
authors.forename: G
authors.initials: G
authors.lastname: Robert
authors.forename: R
authors.initials: R
authors.lastname: Baud
authors.forename: A M
authors.initials: AM
authors.lastname: Rassinoux
mesh_terms: D004194:Disease / Q000145:classification; D006801:Humans; D016247:Information Storage and Retrieval; D009323:Natural Language Processing; D012660:Semantics; D012984:Software; D009626:Terminology as Topic