@article{ART003120916},
author={Eun-Sil Choi},
title={Development of an Automated ESG Document Review System using Ensemble-Based OCR and RAG Technologies},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={9},
pages={25-37},
doi={10.9708/jksci.2024.29.09.025}
TY - JOUR
AU - Eun-Sil Choi
TI - Development of an Automated ESG Document Review System using Ensemble-Based OCR and RAG Technologies
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 9
PB - The Korean Society Of Computer And Information
SP - 25
EP - 37
SN - 1598-849X
AB - This study proposes a novel automation system that integrates Optical Character Recognition (OCR) and Retrieval-Augmented Generation (RAG) technologies to enhance the efficiency of the ESG (Environmental, Social, and Governance) document review process. The proposed system improves text recognition accuracy by applying an ensemble model-based image preprocessing algorithm and hybrid information extraction models in the OCR process. Additionally, the RAG pipeline optimizes information retrieval and answer generation reliability through the implementation of layout analysis algorithms, re-ranking algorithms, and ensemble retrievers. The system's performance was evaluated using certificate images from online portals and corporate internal regulations obtained from various sources, such as the company’s websites. The results demonstrated an accuracy of 93.8% for certification reviews and 92.2% for company regulations reviews, indicating that the proposed system effectively supports human evaluators in the ESG assessment process.
KW - ESG Assessment;Supply Chain Management;Document Review Automation;OCR;RAG
DO - 10.9708/jksci.2024.29.09.025
ER -
Eun-Sil Choi. (2024). Development of an Automated ESG Document Review System using Ensemble-Based OCR and RAG Technologies. Journal of The Korea Society of Computer and Information, 29(9), 25-37.
Eun-Sil Choi. 2024, "Development of an Automated ESG Document Review System using Ensemble-Based OCR and RAG Technologies", Journal of The Korea Society of Computer and Information, vol.29, no.9 pp.25-37. Available from: doi:10.9708/jksci.2024.29.09.025
Eun-Sil Choi "Development of an Automated ESG Document Review System using Ensemble-Based OCR and RAG Technologies" Journal of The Korea Society of Computer and Information 29.9 pp.25-37 (2024) : 25.
Eun-Sil Choi. Development of an Automated ESG Document Review System using Ensemble-Based OCR and RAG Technologies. 2024; 29(9), 25-37. Available from: doi:10.9708/jksci.2024.29.09.025
Eun-Sil Choi. "Development of an Automated ESG Document Review System using Ensemble-Based OCR and RAG Technologies" Journal of The Korea Society of Computer and Information 29, no.9 (2024) : 25-37.doi: 10.9708/jksci.2024.29.09.025
Eun-Sil Choi. Development of an Automated ESG Document Review System using Ensemble-Based OCR and RAG Technologies. Journal of The Korea Society of Computer and Information, 29(9), 25-37. doi: 10.9708/jksci.2024.29.09.025
Eun-Sil Choi. Development of an Automated ESG Document Review System using Ensemble-Based OCR and RAG Technologies. Journal of The Korea Society of Computer and Information. 2024; 29(9) 25-37. doi: 10.9708/jksci.2024.29.09.025
Eun-Sil Choi. Development of an Automated ESG Document Review System using Ensemble-Based OCR and RAG Technologies. 2024; 29(9), 25-37. Available from: doi:10.9708/jksci.2024.29.09.025
Eun-Sil Choi. "Development of an Automated ESG Document Review System using Ensemble-Based OCR and RAG Technologies" Journal of The Korea Society of Computer and Information 29, no.9 (2024) : 25-37.doi: 10.9708/jksci.2024.29.09.025
