An active learning-enabled annotation system for clinical named entity recognition

BACKGROUND: Active learning (AL) has shown the promising potential to minimize the annotation cost while maximizing the performance in building statistical natural language processing (NLP) models. However, very few studies have investigated AL in a real-life setting in medical domain. METHODS: In t...

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Detalhes bibliográficos
Publicado no:BMC Med Inform Decis Mak
Main Authors: Chen, Yukun, Lask, Thomas A., Mei, Qiaozhu, Chen, Qingxia, Moon, Sungrim, Wang, Jingqi, Nguyen, Ky, Dawodu, Tolulola, Cohen, Trevor, Denny, Joshua C., Xu, Hua
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2017
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5506567/
https://ncbi.nlm.nih.gov/pubmed/28699546
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-017-0466-9
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