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

• Main Authors: Zhai, Haijun (Author), Lingren, Todd (Author), Deleger, Louise (Author), Li, Qi (Author), Kaiser, Megan (Author), Stoutenborough, Laura (Author), Solti, Imre (Author)
• Format: Book
• Published: JMIR Publications, 2013-04-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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 time-consuming. To reduce t...