Publications / Domestic Conferences & Theses
Evaluation of Generalization Performance in Korean Table Machine Reading Comprehension across Domain-Specific Datasets
Abstract
Identified the limitations of existing tabular machine reading comprehension models in domain generalization through cross-validation, highlighting the importance of constructing tabular datasets across diverse domains.
Key Contribution
Identified domain generalization limitations in tabular MRC models through cross-validation analysis.