Accepted our journal paper to IEEE Access
The following paper has been accepted to the IEEE Access. This paper is an extended version of the content presented at the “Practical ML for Low Resource Settings Workshop @ ICLR 2024”.
Sota Nemoto, Shunsuke Kitada, Hitoshi Iyatomi. “Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition”.
Shunsuke Kitada, Ph.D.
Research Scientist working on Vision & Language with Deep Learning
My research interests include deep learning-based natural language processing, computer vision, medical image processing, and computational advertising.