A semi-supervised approach for extracting TCM clinical terms based on feature words

BACKGROUND: A semi-supervised model is proposed for extracting clinical terms of Traditional Chinese Medicine using feature words. METHODS: The extraction model is based on BiLSTM-CRF and combined with semi-supervised learning and feature word set, which reduces the cost of manual annotation and lev...

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Detalles Bibliográficos
Autores principales: Liu, Liangliang, Wu, Xiaojing, Liu, Hui, Cao, Xinyu, Wang, Haitao, Zhou, Hongwei, Xie, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477860/
https://www.ncbi.nlm.nih.gov/pubmed/32646408
http://dx.doi.org/10.1186/s12911-020-1108-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477860/
https://www.ncbi.nlm.nih.gov/pubmed/32646408
http://dx.doi.org/10.1186/s12911-020-1108-1

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