Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing

BACKGROUND: A high-quality gold standard is vital for supervised, machine learning-based, clinical natural language processing (NLP) systems. In clinical NLP projects, expert annotators traditionally create the gold standard. However, traditional annotation is expensive and time-consuming. To reduce...

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Detalles Bibliográficos
Autores principales: Zhai, Haijun, Lingren, Todd, Deleger, Louise, Li, Qi, Kaiser, Megan, Stoutenborough, Laura, Solti, Imre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2013
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636329/
https://www.ncbi.nlm.nih.gov/pubmed/23548263
http://dx.doi.org/10.2196/jmir.2426

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636329/
https://www.ncbi.nlm.nih.gov/pubmed/23548263
http://dx.doi.org/10.2196/jmir.2426

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