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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506567/
https://www.ncbi.nlm.nih.gov/pubmed/28699546
http://dx.doi.org/10.1186/s12911-017-0466-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506567/
https://www.ncbi.nlm.nih.gov/pubmed/28699546
http://dx.doi.org/10.1186/s12911-017-0466-9

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