Publications / Domestic Conferences & Theses
Korean Machine Reading Comprehension Using Continual Learning
Abstract
Applied Continual Learning to Korean machine reading comprehension to address the issue of deep learning models losing information from previously learned models.
Key Contribution
Applied continual learning to Korean MRC, addressing catastrophic forgetting in sequential model training.