Cargando…
Concept annotation in the CRAFT corpus
BACKGROUND: Manually annotated corpora are critical for the training and evaluation of automated methods to identify concepts in biomedical text. RESULTS: This paper presents the concept annotations of the Colorado Richly Annotated Full-Text (CRAFT) Corpus, a collection of 97 full-length, open-acces...
Autores principales: | Bada, Michael, Eckert, Miriam, Evans, Donald, Garcia, Kristin, Shipley, Krista, Sitnikov, Dmitry, Baumgartner, William A, Cohen, K Bretonnel, Verspoor, Karin, Blake, Judith A, Hunter, Lawrence E |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3476437/ https://www.ncbi.nlm.nih.gov/pubmed/22776079 http://dx.doi.org/10.1186/1471-2105-13-161 |
Ejemplares similares
-
Coreference annotation and resolution in the Colorado Richly Annotated Full Text (CRAFT) corpus of biomedical journal articles
por: Cohen, K. Bretonnel, et al.
Publicado: (2017) -
Gold-standard ontology-based anatomical annotation in the CRAFT Corpus
por: Bada, Michael, et al.
Publicado: (2017) -
Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters
por: Funk, Christopher, et al.
Publicado: (2014) -
A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools
por: Verspoor, Karin, et al.
Publicado: (2012) -
Interoperability of text corpus annotations with the semantic web
por: Verspoor, Karin, et al.
Publicado: (2015)