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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Dades bibliogràfiques
Publicat a:BMC Med Inform Decis Mak
Autors principals: Chen, Yukun, Lask, Thomas A., Mei, Qiaozhu, Chen, Qingxia, Moon, Sungrim, Wang, Jingqi, Nguyen, Ky, Dawodu, Tolulola, Cohen, Trevor, Denny, Joshua C., Xu, Hua
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2017
Matèries:
Research
Accés en línia: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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