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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Detalles Bibliográficos
Autores principales: Park, Albert, Hartzler, Andrea L, Huh, Jina, McDonald, David W, Pratt, Wanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2015
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642409/
https://www.ncbi.nlm.nih.gov/pubmed/26323337
http://dx.doi.org/10.2196/jmir.4612

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642409/
https://www.ncbi.nlm.nih.gov/pubmed/26323337
http://dx.doi.org/10.2196/jmir.4612

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