Cost-aware active learning for named entity recognition in clinical text

OBJECTIVE: Active Learning (AL) attempts to reduce annotation cost (ie, time) by selecting the most informative examples for annotation. Most approaches tacitly (and unrealistically) assume that the cost for annotating each sample is identical. This study introduces a cost-aware AL method, which sim...

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Detalhes bibliográficos
Publicado no:J Am Med Inform Assoc
Main Authors: Wei, Qiang, Chen, Yukun, Salimi, Mandana, Denny, Joshua C, Mei, Qiaozhu, Lasko, Thomas A, Chen, Qingxia, Wu, Stephen, Franklin, Amy, Cohen, Trevor, Xu, Hua
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
Assuntos:
Research and Applications
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6798575/
https://ncbi.nlm.nih.gov/pubmed/31294792
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz102
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