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Clinical Chinese Named Entity Recognition in Natural Language Processing

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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Guo, Shuli (Egilea), Han, Lina (Egilea), Yang, Wentao (Egilea)
Erakunde egilea: SpringerLink (Online service)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edizioa:1st ed. 2023.
Gaiak:
Machine learning.
Computational linguistics.
Clinical medicine > Research.
Image processing > Digital techniques.
Computer vision.
Machine Learning.
Computational Linguistics.
Clinical Research.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Sarrera elektronikoa:https://doi.org/10.1007/978-981-99-2665-7
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Deskribapena
Gaia: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.
Deskribapen fisikoa:1 online resource (XX, 90 p. 22 illus.). 20 illus. in color.
ISBN:9789819926657
DOI:10.1007/978-981-99-2665-7

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