Korean dataset improves extraction of ESG information from reports
ESG-Kor: A Korean Dataset for ESG-related Information Extraction and Practical Use Cases
Computation and LanguageArtificial Intelligence
Summary
As more companies focus on Environmental, Social, and Governance (ESG) issues, it’s useful to automatically find this information in reports. The authors created a large Korean dataset called ESG-Kor by carefully labeling sentences from company sustainability reports about ESG topics. They tested several Korean language models on this dataset and got strong results, showing that the dataset helps computers understand ESG content. They also showed how this approach could work for smaller companies to analyze important ESG issues in detail.
What this means in practice
- •For corporate sustainability teams: Automatically identify and organize ESG-related information from Korean corporate reports to support ESG assessment and reporting workflows.
- •For financial analysts: Extract and analyze ESG data from small and medium enterprise documents using the Korean dataset to inform investment decisions.
Authors
Jaeyoung Lee, Geonyeong Son, Misuk Kim
Abstract
With the expansion of pre-trained language model usage in recent years, the importance of datasets for performing tasks in specialized domains has significantly increased. Therefore, we have built a Korean dataset called ESG-Kor to automatically extract Environmental, Social, and Governance (ESG) information, which has recently gained importance. ESG-Kor is a dataset consisting of a total of 118,946 sentences that extracted information on each ESG component from Korean companies' sustainability reports and manually labeled it according to objective rules provided by ESG evaluation agencies. To verify the effectiveness and applicability of the ESG-Kor dataset, classification performance was confirmed using several Korean pre-trained language models, and significant performance was obtained. Additionally, by extending the ESG classification model to documents of small and medium enterprises and extracting information based on ESG key issues and in-depth analysis, we demonstrated potential and practical use cases in the ESG field.