About Me
I love Coffee, Surfing, Singing, and Photography.
Education
- PhD in Seoul National University, Electrical and Computer Engineering (2021)
- BS in Yonsei University, Electrical and Computer Engineering (2013)
Research Interest
- Natural Language Processing
- Deep Learning for AI
Publications
[8] H Lee, S Yoon, F Dernoncourt, D Kim, T Bui, J Shin, K Jung, “KPQA: A Metric for Generative Question Answering Using Keyphrase Weights” to appeal in Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.
[7] Y Lee, J Shin, K Jung, “Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech” to appeal in International Conference on Learning Representations (ICLR), 2021.
[6] J Shin, Y Lee, S Yoon, K Jung, “Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning” in Annual Meeting of the Association for Computational Linguistics (ACL), 2020.
[5] J Shin, Y Lee, K Jung, “Effective Sentence Scoring Method Using BERT for Speech Recognition” in Asian Conference on Machine Learning (ACML), 2019.
[4] Y Kim, H Lee, J Shin, K Jung, “Improving neural question generation using answer separation” in Proc. of the AAAI Conference on Artificial Intelligence (AAAI), 2019.
[3] S Yoon, K Park, J Shin, H Lim, S Won, M Cha, K Jung, “Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder” in Proc. of the AAAI Conference on Artificial Intelligence (AAAI), 2019.
[2] S Yoon, J Shin, K Jung, “Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering” in Proc. of Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2018.
[1] J Shin, Y Kim, S Yoon, K Jung, “Contextual-CNN: A Novel Architecture Capturing Unified Meaning for Sentence Classification” in Proc. of the IEEE International Conference on Big Data and Smart Computing (BigComp), 2018.