A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools

A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools

<p>Abstract</p> <p>Background</p> <p>We introduce the linguistic annotation of a corpus of 97 full-text biomedical publications, known as the Colorado Richly Annotated Full Text (CRAFT) corpus. We further assess the performance of existing tools for performing sentence...

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Main Authors: Verspoor Karin, Cohen Kevin, Lanfranchi Arrick, Warner Colin, Johnson Helen L, Roeder Christophe, Choi Jinho D, Funk Christopher, Malenkiy Yuriy, Eckert Miriam, Xue Nianwen, Baumgartner William A, Bada Michael, Palmer Martha, Hunter Lawrence E
Format: Article
Language:English
Published: BMC 2012-08-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/13/207

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http://www.biomedcentral.com/1471-2105/13/207

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