title: Finding UMLS Metathesaurus concepts in MEDLINE.
abstract: The entire collection of 11.5 million MEDLINE abstracts was processed to extract 549 million noun phrases using a shallow syntactic parser. English language strings in the 2002 and 2001 releases of the UMLS Metathesaurus were then matched against these phrases using flexible matching techniques. 34% of the Metathesaurus names (occurring in 30% of the concepts) were found in the titles and abstracts of articles in the literature. The matching concepts are fairly evenly chemical and non-chemical in nature and span a wide spectrum of semantic types. This paper details the approach taken and the results of the analysis.
authors.affiliation: National Library of Medicine, Bethesda, MD, USA.
authors.forename: Suresh
authors.initials: S
authors.lastname: Srinivasan
authors.forename: Thomas C
authors.initials: TC
authors.lastname: Rindflesch
authors.forename: William T
authors.initials: WT
authors.lastname: Hole
authors.forename: Alan R
authors.initials: AR
authors.lastname: Aronson
authors.forename: James G
authors.initials: JG
authors.lastname: Mork
mesh_terms: D016239:MEDLINE; D039781:PubMed; D012660:Semantics; D013358:Subject Headings; D017432:Unified Medical Language System