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PubMed · 8472004

UMLS knowledge for biomedical language processing.

A T McCray·A R Aronson·A C Browne·T C Rindflesch·A Razi·S Srinivasan
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Abstract

This paper describes efforts to provide access to the free text in biomedical databases. The focus of the effort is the development of SPECIALIST, an experimental natural language processing system for the biomedical domain. The system includes a broad coverage parser supported by a large lexicon, modules that provide access to the extensive Unified Medical Language System (UMLS) Knowledge Sources, and a retrieval module that permits experiments in information retrieval. The UMLS Metathesaurus and Semantic Network provide a rich source of biomedical concepts and their interrelationships. Investigations have been conducted to determine the type of information required to effect a map between the language of queries and the language of relevant documents. Mappings are never straightforward and often involve multiple inferences.

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HumansInformation Storage and RetrievalNatural Language ProcessingSemanticsSubject HeadingsUnified Medical Language SystemUser-Computer InterfaceJournal Article

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A T McCray, A R Aronson, A C Browne, T C Rindflesch, A Razi, S Srinivasan. 1993. UMLS knowledge for biomedical language processing.. https://pubmed.ncbi.nlm.nih.gov/8472004/

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