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SemCat: semantically categorized entities for genomics
Lorraine Tanabe1, Lynne H Thom, Wayne Matten
1National Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894, USA.
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.
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