Yeong Jae Yu
Hanyang University · 情報科学
研究室紹介
Professor Yeong Jae Yu's research lab specializes in natural language processing and deep learning, with a focus on improving text classification and model generalization through innovative data augmentation techniques. The lab explores attention-based methods to enhance model performance while reducing reliance on large annotated datasets. Key research directions include attention-driven text modification, entity- and part-of-speech-aware data augmentation, and efficient deep learning model development. The lab's work bridges theoretical advancements with practical applications in NLP.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
1To improve the performance of text classification, we propose text augmentation based on attention score (TABAS). We recognized that a criterion for selecting a replacement word rather than a random selection was necessary. Therefore, TABAS utilizes attention scores for text modification, processing only words with the same entity and part-of-speech tags to consider informational aspects. To verify this approach, we used two benchmark tasks. As a result, TABAS can significantly improve performan