Clinical Chinese Named Entity Recognition in Natural Language Processing
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Beschreibung
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.
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.
Presents creative methods such as the medical named entity recognition models with the Attention Distraction Mechanism Introduces how to mine the information hidden in medical text for Chinese medical named entity recognition Provides the transformer entity automatic extraction models in multi-layer soft location matching format
Autor*in
Shuli Guo
Themen in »Clinical Chinese Named Entity Recognition in Natural Language Processing«
Medical Named Entity Recognition Word-Character Lattice Positive-unlabeled learning Pre-trained Model Long short-term memory