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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...

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Hlavní autoři: Guo, Shuli (Autor), Han, Lina (Autor), Yang, Wentao (Autor)
Korporativní autor: SpringerLink (Online service)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Vydání:1st ed. 2023.
Témata:
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.
On-line přístup:https://doi.org/10.1007/978-981-99-2665-7
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Obsah:
  • 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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