Youngsook Song
Scholar

Youngsook Song

Google Scholar ID: kp_a52kAAAAJ
Lablup ML Researcher
국어학인공지능
Citations & Impact
All-time
Citations
419
 
H-index
3
 
i10-index
2
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 1. Journal Articles:
  • - Youngsook Song, Won Ik Cho (2024) - Study on the Domain Adaption of Korean Speech Act using Daily Conversation Dataset and Petition Corpus, Journal of Data Mining & Digital Humanities, June 4, 2024, NLP4DH
  • - Jung Younam, Youngsook Song, Yu Hyunjo (2023), Construction of a Corpus for Nested Named Entities in Korean, Journal of Korean Linguistics, Vol. 105: 309-344.
  • - Shin Hyunggyu, Yu Hyunjo, Youngsook Song (2023), Quantitative and Qualitative Research on Automatic Generation of General Commonsense Reasoning Dialogues Suitable for AI, Journal of the Korea Information Science Society, Vol. 50, No. 5.
  • - Youngsook Song (August 16, 2023), Research on Natural Language Generation for Improving the Everyday Dialogue Inference Ability of Artificial Intelligence, Ph.D. Thesis, Kyung Hee University.
  • 2. Conference Papers:
  • - Dokyoon Yoon, Youngsook Song, Woomyoung Park (2025), Stop learning it all to mitigate visual hallucination, Focus on the hallucination target, CVPR 2025.
  • - Youngsook Song, Kang Jeongsuk, Kim Tae-eun, Yu Hyunjo, Hwang Eunjin (2025), Korean Text Style Transfer for Preserving Original Meaning: Synthetic Data Generation and Large-Scale Evaluation, 2025 Joint Conference on Korean and Korean Language Information Processing & Korean Corpus Linguistics.
  • - Choi Dasol, Park Woomyoung, and Song Youngsook. 2025. No Language Data Left Behind: A Comparative Study of CJK Language Datasets in the Hugging Face Ecosystem. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Workshop on Multilingual Representation Learning (MRL), Suzhou, China. Association for Computational Linguistics. (To appear)
  • - Taeeun Kim, Semin Jeong, Youngsook Song, KoGEC: Korean Grammatical Error Correction with Pre-trained Translation Models, Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, 2024, Japan.
  • - Youngsook Song, Kang Arum (2024), Multi-faceted Korean Performance Evaluation of GPT-4 Using Coreference Resolution Datasets, 36th Annual Conference on Korean and Korean Language Information Processing (HCLT).
  • - Kang Arum, Youngsook Song (2024), The Intersection of Definiteness and Coreference Resolution: Utilizing Deep Learning Language Models (Poster Presentation), 36th Annual Conference on Korean and Korean Language Information Processing (HCLT).
  • - Won Ik Cho, Sangwhan Moon, and Youngsook Song (2023), Revisiting Korean Corpus Studies through Technological Advances, in Proc. PACLIC 2023, Hong Kong.
  • - Youngsook Song, Won Ik Cho (2023) Study on the Domain Adaption of Korean Speech Act using Daily Conversation Dataset and Petition Corpus, NLP4DH
  • 3. Books:
  • - Youngsook Song, Yu Hyunjo (December 18, 2024) Translation, A Statistics Textbook with Python, Insight Publishing. ISBN 9788966264629
  • 4. Patents:
  • - Do Kyun Yun, Youngsook Song, Umyoung Park, Learning Method and Electronic Device for Multimodal Model, Application Number 10-2024-0192809, Filing Date December 20, 2024.
Research Experience
  • Affiliation: Lableup Co., Ltd., Researcher; Involved in multiple research projects and publications.
Education
  • Highest Degree: Ph.D. in Korean Linguistics from Kyung Hee University (August 2023)
Background
  • Research Interests: Computational Linguistics, Typology, Commonsense Reasoning, Phonetics, etc.
Miscellany
  • Personal Interests: Participated in various technical blog editing and writing; involved in hackathons; received awards including the 5th Hakcheon Park Yuseo Young Scholar Award in Korean Linguistics.
Co-authors
0 total
Co-authors: 0 (list not available)