WEI-YI Chung
Research Assistant of NLP Lab from SCU
Netural Language Processing is my main research field of the master's degree. Studying on multi-dimensional sentiment indicators, cyber-bullying emotion detection, and coreference resolution. Familiar with Pytorch syntax and encoder-based pre-training models.In addition. I also followed the projects to assist in the research of MRT passenger flow prediction and the use of transfer learning on pre-training dynamic station embedding
A Dynamic Embedding Method for Passenger Flow Estimation
Authors: Wei-Yi Chung, Yen-Nan Ho, Yu-Hsuan Wu, Jheng-Long Wu
Publications: In 2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)
Sentiment-Based Masked Language Modeling for Improving Sentence-Level Valence–Arousal Prediction
Authors: Jheng-Long Wu, Wei-Yi Chung
Publications: Applied Intelligence, 2022
A Dimensional Valence-Arousal-Irony Dataset for Chinese Sentence and Context
Authors: Sheng-Wei Huang, Wei-Yi Chung, Yu-Hsuan Wu, et al.
Publications: In Proceedings of the 34rd Conference on Computational Linguistics and Speech Processing (ROCLING2022)
Factor Detection Task of Cyberbullying Using the Deep Learning Model
Authors: Sheng-Wei Huang, Yu-Hsuan Wu, Wei-Yi Chung, et al.
Publications: 2022 IEEE International Conference on Big Data Workshop BDA4CID 2022
Hierarchical Attention Networks for passenger flow estimation
Publications: under studying
Entity representation learning and density estimation for coreference resolution
Publications: under studying (Master Thesis)