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New Korean Dataset Launched for ESG Information Extraction

By PulseAugur Editorial · [1 sources] ·

Researchers have developed ESG-Kor, a new Korean dataset designed for extracting Environmental, Social, and Governance (ESG) information from corporate sustainability reports. This dataset comprises over 118,000 sentences, meticulously labeled according to ESG evaluation agency rules. Initial tests using various Korean pre-trained language models demonstrated significant classification performance, and the dataset's applicability was further shown through its use in analyzing documents from small and medium-sized enterprises. AI

IMPACT This dataset could improve AI's ability to analyze corporate sustainability and ESG compliance in Korean.

RANK_REASON The cluster describes a new academic dataset and its evaluation, fitting the research bucket. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Korean Dataset Launched for ESG Information Extraction

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The cluster describes a new academic dataset and its evaluation, fitting the research bucket. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jaeyoung Lee, Geonyeong Son, Misuk Kim ·

    ESG-Kor: A Korean Dataset for ESG-related Information Extraction and Practical Use Cases

    arXiv:2610.21368v1 Announce Type: cross 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 t…

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