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Clinical Chinese Named Entity Recognition in Natural Language Processing / / by Shuli Guo, Lina Han, Wentao Yang



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Autore: Guo Shuli Visualizza persona
Titolo: Clinical Chinese Named Entity Recognition in Natural Language Processing / / by Shuli Guo, Lina Han, Wentao Yang Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (103 pages)
Disciplina: 610.285
Soggetto topico: 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
Tractament del llenguatge natural (Informàtica)
Informàtica mèdica
Soggetto geografico: Xina
Soggetto genere / forma: Llibres electrònics
Soggetto non controllato: Medicine
Medical
Persona (resp. second.): HanLina
YangWentao
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Clinical Chinese Named Entity Recognition in Natural Language Processing  Visualizza cluster
ISBN: 981-9926-65-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910739465403321
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