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＜電子ブック＞
Clinical Chinese Named Entity Recognition in Natural Language Processing / by Shuli Guo, Lina Han, Wentao Yang

版	1st ed. 2023.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2023
本文言語	英語
大きさ	XX, 90 p. 22 illus., 20 illus. in color : online resource
著者標目	*Guo, Shuli author Han, Lina author Yang, Wentao author SpringerLink (Online service)
件　名	LCSH:Machine learning LCSH:Computational linguistics LCSH:Clinical medicine -- Research  全ての件名で検索 LCSH:Image processing -- Digital techniques  全ての件名で検索 LCSH:Computer vision FREE:Machine Learning FREE:Computational Linguistics FREE:Clinical Research FREE:Computer Imaging, Vision, Pattern Recognition and Graphics
一般注記	Introduction -- Theoretical Basis -- Related Existed Models -- Medical Named Entity Recognition Models with the Attention Distraction Mechanism -- Transformer Entity Automatic Extraction Models in Multi-Layer Soft Location Matching Format -- Medical Named Entity Recognition Modelling based on Remote Monitoring and Denoising This book introduces how to enhance the context capture ability of the model, improve the position information perception ability of the pretrained models, and identify and denoise the unlabeled entities. The Chinese medical named entity recognition is an important branch of the intelligent medicine, which is beneficial to mine the information hidden in medical texts and provide the medical entity information for clinical medical decision-making and medical classification. Researchers, engineers and post-graduate students in the fields of medicine management and software engineering HTTP:URL=https://doi.org/10.1007/978-981-99-2665-7

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