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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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| Główni autorzy: | , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
JMIR Publications Inc.
2013
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3636329/ https://ncbi.nlm.nih.gov/pubmed/23548263 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/jmir.2426 |
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