Jeong-Seon Im

Korea Electric Power Corporation (South Korea)

Papers

Total Citations

H-Index

About

Jeong-Seon Im is a leading researcher at the intersection of conversational AI and enterprise automation, with a focus on deep learning-based natural language processing (NLP) and robotic process automation (RPA). Her major contributions include pioneering neural question generation (NQG) for chatbot training data augmentation, as demonstrated in her highly cited work "Ensemble-NQG-T5" (2023, 21 citations), which leverages the Text-to-Text Transfer Transformer (T5) to reduce reliance on human-annotated datasets. She also advanced Korean NLP with "KoRASA" (2021, 11 citations), an optimized open-source framework that enhances functional scalability for Korean-language chatbots. In enterprise automation, Im developed "EnterRPA" (2023, 4 citations), an open-source RPA solution addressing risk factors in software-driven task automation. Her work bridges critical gaps in chatbot scalability and operational efficiency, earning recognition for its practical impact on industries adopting AI-driven customer service. With a cumulative citation count exceeding 36, Im’s research continues to shape the development of more accessible, language-adaptive, and automated systems for global and Korean-language applications.