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

BACKGROUND: 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 splitting, tokenization, syntactic parsing, and named e...

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Main Authors: Verspoor, Karin, Cohen, Kevin Bretonnel, 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
Formato: Artigo
Idioma:Inglês
Publicado: BioMed Central 2012
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Research Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC3483229/
https://ncbi.nlm.nih.gov/pubmed/22901054
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-13-207
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