title: SemCat: semantically categorized entities for genomics.
abstract: We describe the construction of a semantic database called SemCat consisting of a large number of semantically categorized names relevant to genomics. SemCat can be used to facilitate natural language processing in MEDLINE. We present suitable application areas including biomedical name classification and named entity recognition.
authors.affiliation: National Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894, USA.
authors.forename: Lorraine
authors.initials: L
authors.lastname: Tanabe
authors.forename: Lynne H
authors.initials: LH
authors.lastname: Thom
authors.forename: Wayne
authors.initials: W
authors.lastname: Matten
authors.forename: Donald C
authors.initials: DC
authors.lastname: Comeau
authors.forename: W John
authors.initials: WJ
authors.lastname: Wilbur
mesh_terms: D000465:Algorithms; D023281:Genomics; D016239:MEDLINE; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated; D012660:Semantics; D009626:Terminology as Topic