Utilizing Deep Learning for Named Entity Recognition in Ancient Chinese Stroke Medical Cases

Objective: Based on the deep learning method, to construct the named entity recognition model of Ming and Qing dynasty stroke medical cases, to extract as comprehensive as possible the effective information in the Ming and Qing dynasty stroke medical cases, and to realise the transmission and sharing of knowledge.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1145/3700486.3700511
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
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article

Utilizing Deep Learning for Named Entity Recognition in Ancient Chinese Stroke Medical Cases

Chunyan Wang, Ruixiang Wang, Jiahui Gao
Topic Modeling
article

Utilizing Deep Learning for Named Entity Recognition in Ancient Chinese Stroke Medical Cases

Chunyan Wang, Ruixiang Wang, Jiahui Gao
article en

Abstract

Objective: Based on the deep learning method, to construct the named entity recognition model of Ming and Qing dynasty stroke medical cases, to extract as comprehensive as possible the effective information in the Ming and Qing dynasty stroke medical cases, and to realise the transmission and sharing of knowledge.

Shandong University of Traditional Chinese Medicine (CN)
Quality Education
Openalex Percentile: Top 80%
Topic Modeling
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