title: Extending a natural language parser with UMLS knowledge.
abstract: Over the past several years our research efforts have been directed toward the identification of natural language processing methods and techniques for improving access to biomedical information stored in computerized form. To provide a testing ground for some of these ideas we have undertaken the development of SPECIALIST, a prototype system for parsing and accessing biomedical text. The system includes linguistic and biomedical knowledge. Linguistic knowledge involves rules and facts about the grammar of the language. Biomedical knowledge involves rules and facts about the domain of biomedicine. The UMLS knowledge sources, Meta-1 and the Semantic Network, as well as the UMLS test collection, have recently contributed to the development of the SPECIALIST system.
authors.affiliation: National Library of Medicine, Bethesda, Maryland 20894.
authors.forename: A T
authors.initials: AT
authors.lastname: McCray
mesh_terms: D016247:Information Storage and Retrieval; D008037:Linguistics; D016239:MEDLINE; D009323:Natural Language Processing; D017432:Unified Medical Language System