title: Empirical data on corpus design and usage in biomedical natural language processing.
abstract: This paper describes the design of six publicly available biomedical corpora. We then present usage data for the six corpora. We show that corpora that are carefully annotated with respect to structural and linguistic characteristics and that are distributed in standard formats are more widely used than corpora that are not. These findings have implications for the design of the next generation of biomedical corpora.
authors.affiliation: Center for Computational Pharmacology, U. of Colorado School of Medicine, USA. kevin.cohen@gmail.com
authors.forename: K Bretonnel
authors.initials: KB
authors.lastname: Cohen
authors.forename: Lynne
authors.initials: L
authors.lastname: Fox
authors.forename: Philip  V
authors.initials: P
authors.lastname: Ogren
authors.forename: Lawrence
authors.initials: L
authors.lastname: Hunter
mesh_terms: D019295:Computational Biology; D019992:Databases as Topic; D016247:Information Storage and Retrieval; D051188:Knowledge Bases; D008037:Linguistics; D009323:Natural Language Processing