Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing
BackgroundA 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 tim...
Main Authors: | Zhai, Haijun, Lingren, Todd, Deleger, Louise, Li, Qi, Kaiser, Megan, Stoutenborough, Laura, Solti, Imre |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2013-04-01
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Series: | Journal of Medical Internet Research |
Online Access: | http://www.jmir.org/2013/4/e73/ |
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