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Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text
BACKGROUND: The prevalence and value of patient-generated health text are increasing, but processing such text remains problematic. Although existing biomedical natural language processing (NLP) tools are appealing, most were developed to process clinician- or researcher-generated text, such as clin...
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| Publicado no: | J Med Internet Res |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
JMIR Publications Inc.
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4642409/ https://ncbi.nlm.nih.gov/pubmed/26323337 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/jmir.4612 |
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