@article{ART003130952},
author={Jang Ho},
title={Named entity normalization for traditional herbal formula mentions},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={10},
pages={105-111},
doi={10.9708/jksci.2024.29.10.105}
TY - JOUR
AU - Jang Ho
TI - Named entity normalization for traditional herbal formula mentions
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 10
PB - The Korean Society Of Computer And Information
SP - 105
EP - 111
SN - 1598-849X
AB - In this paper, we propose methods for the named entity normalization of traditional herbal formula found in medical texts. Specifically, we developed methodologies to determine whether mentions, such as full names of herbal formula and their abbreviations, refer to the same concept. Two different approaches were attempted. First, we built a supervised classification model that uses BERT-based contextual vectors and character similarity features of herbal formula mentions in medical texts to determine whether two mentions are identical. Second, we applied a prompt-based querying method using GPT-4o mini and GPT-4o to perform the same task. Both methods achieved over 0.9 in Precision, Recall, and F1-score, with the GPT-4o-based approach demonstrating the highest Precision and F1-Score. The results of this study demonstrate the effectiveness of machine learning-based approaches for named entity normalization in traditional medicine texts, with the GPT-4o-based method showing superior performance. This suggests its potential as a valuable foundation for the development of intelligent information extraction systems in the traditional medicine domain.
KW - Named entity recognition;Named entity normalization;GPT;BERT;Traditional herbal formula
DO - 10.9708/jksci.2024.29.10.105
ER -
Jang Ho. (2024). Named entity normalization for traditional herbal formula mentions. Journal of The Korea Society of Computer and Information, 29(10), 105-111.
Jang Ho. 2024, "Named entity normalization for traditional herbal formula mentions", Journal of The Korea Society of Computer and Information, vol.29, no.10 pp.105-111. Available from: doi:10.9708/jksci.2024.29.10.105
Jang Ho "Named entity normalization for traditional herbal formula mentions" Journal of The Korea Society of Computer and Information 29.10 pp.105-111 (2024) : 105.
Jang Ho. Named entity normalization for traditional herbal formula mentions. 2024; 29(10), 105-111. Available from: doi:10.9708/jksci.2024.29.10.105
Jang Ho. "Named entity normalization for traditional herbal formula mentions" Journal of The Korea Society of Computer and Information 29, no.10 (2024) : 105-111.doi: 10.9708/jksci.2024.29.10.105
Jang Ho. Named entity normalization for traditional herbal formula mentions. Journal of The Korea Society of Computer and Information, 29(10), 105-111. doi: 10.9708/jksci.2024.29.10.105
Jang Ho. Named entity normalization for traditional herbal formula mentions. Journal of The Korea Society of Computer and Information. 2024; 29(10) 105-111. doi: 10.9708/jksci.2024.29.10.105
Jang Ho. Named entity normalization for traditional herbal formula mentions. 2024; 29(10), 105-111. Available from: doi:10.9708/jksci.2024.29.10.105
Jang Ho. "Named entity normalization for traditional herbal formula mentions" Journal of The Korea Society of Computer and Information 29, no.10 (2024) : 105-111.doi: 10.9708/jksci.2024.29.10.105
