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1. |
Record Nr. |
UNINA9910739465403321 |
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Autore |
Guo Shuli |
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Titolo |
Clinical Chinese Named Entity Recognition in Natural Language Processing / / by Shuli Guo, Lina Han, Wentao Yang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (103 pages) |
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Disciplina |
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Soggetti |
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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 |
Llibres electrònics |
Xina |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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