title: From natural language to formal language: when MultiTALE meets GALEN.
abstract: In the GALEN project, the syntactic-semantic tagger MultiTALE is upgraded to extract knowledge from natural language surgical procedure expressions. In this paper, we describe the methodology applied and show that out of a randomly selected sample of such expressions, 81% could be analysed correctly. The problems encountered are summarised and areas of further investigation identified.
authors.affiliation: Office Line Engineering NV, Zonnegem, Belgium.
authors.forename: W
authors.initials: W
authors.lastname: Ceusters
authors.forename: P
authors.initials: P
authors.lastname: Spyns
authors.forename: G
authors.initials: G
authors.lastname: De Moor
mesh_terms: D006801:Humans; D008037:Linguistics; D008962:Models, Theoretical; D009323:Natural Language Processing; D012986:Software Validation; D013514:Surgical Procedures, Operative / Q000145:classification*; D018875:Vocabulary, Controlled