Papers by Geonyeong Son
ESG-Kor: A Korean Dataset for ESG-related Information Extraction and Practical Use Cases (2024.findings-emnlp)
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| Challenge: | Pre-trained language models are exhibiting astonishing performances in various natural language processing tasks, including classification, question answering, machine translation, summarization, and conversation generation. |
| Approach: | They built a Korean dataset to automatically extract Environmental, Social, and Governance (ESG) information from Korean companies’ sustainability reports and manually labeled it according to objective rules provided by ESG evaluation agencies. |
| Outcome: | The proposed dataset extracts environmental, social, and governance information from Korean companies’ sustainability reports and labels it according to objective rules provided by ESG evaluation agencies. |
From Curiosity to Clarity : Exploring the Impact of Consecutive Why-Questions (2025.findings-naacl)
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| Challenge: | a recent study has demonstrated the utility of consecutive why-questions in everyday life. |
| Approach: | They used a WHY-Chain dataset to construct a model that asked a why-questions question . they also used objectives that capture the 'consecutive' characteristic of the data . |
| Outcome: | The proposed model performed better on downstream tasks that require commonsense reasoning . the model was validated by ablation studies and the validity check . |