A comparative study on Chinese named entity recognition with character-level enhancement

Zhizhong Qian; Guiyun Zhang; Shaowei Zhang; Bangyu Zhu

doi:10.1117/12.3029690

21 June 2024 A comparative study on Chinese named entity recognition with character-level enhancement

Zhizhong Qian, Guiyun Zhang, Shaowei Zhang, Bangyu Zhu

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 1316737 (2024) https://doi.org/10.1117/12.3029690
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

Electronic medical records are important information for medical intelligence, although there have been many related studies. However, based on the characteristics of the electronic medical record itself, for example, there is no clear boundary of participle and other problems, which causes difficulties to the research. Chinese, as a kind of hieroglyphic script, contains rich information in itself. There are various methods to use the splitting of Chinese characters as an enhanced data input model to improve the overall recognition effect; however, there are various forms of splitting of glyphs, and there are no papers to compare and contrast this information enhancement method. In this paper, firstly, the common ways of Chinese NER are introduced, and then they are analyzed through the technical point of view, followed by illustrating the effects of different splitting methods on the NER task, and comparing this data enhancement method through experiments.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhizhong Qian, Guiyun Zhang, Shaowei Zhang, and Bangyu Zhu "A comparative study on Chinese named entity recognition with character-level enhancement", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 1316737 (21 June 2024); https://doi.org/10.1117/12.3029690

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