JinYeong Bak


Ph.D. Student
KAIST
Daejeon, South Korea

jy.bak (at) kaist.ac.kr
OpenPGP key
@NoSyu

CV
LinkedIn
Google scholar
Github repo
Personal blog (Korean)

Research Statement

My research interests are in machine learning and data mining. In particular, I study probabilistic Bayesian topic models which aims to discover latent patterns such as topics in unannotated data, and efficient inference methods of it for handling large corpus.

Education

Publications

  1. JinYeong Bak and Alice Oh. Conversational decision-making model for predicting the kings decision in the annals of the joseon dynasty. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018.
    [PDF] [Code and Data]
  2. Sungjoon Park, JinYeong Bak, and Alice Oh. Rotated word vector representations andtheir interpretability. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 401–411, 2017.
    [PDF] [Code]
  3. Jongin Lee, Daeki Cho, Junhong Kim, Eunji Im, JinYeong Bak, Kwan Hong Lee, John Kim, and others. Itchtector: A wearable-based mobile system for managing itching conditions. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pages 893–905. ACM, 2017. Information Retrieval, 2017
    [PDF]
  4. JinYeong Bak Imaduddin Amin, Jong Gun Lee, and Alice Oh. Keyword expansion for understanding crisis events in indonesian tweets. In ICML Workshop on Interactive MachineLearning and Semantic Information Retrieval, 2017
    [PDF] [Poster]
  5. JinYeong Bak and Alice Oh. Five centuries of monarchy in korea: Mining the text of the annals of the joseon dynasty. In Proceedings of the 9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH), pages 10–14, Beijing, China, July 2015. Association for Computational Linguistics
    [PDF] [Slides]
  6. JinYeong Bak, Chin-Yew Lin, and Alice Oh. Self-disclosure topic model for classifying and analyzing twitter conversations. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014.
    [PDF] [Code and Data] [Slides]
  7. JinYeong Bak, Dongwoo Kim, and Alice Oh. Distributed online learning for latent dirichlet allocation. In Proceedings of Workshop on Big Learning : Algorithms, Systems, and Tools at the Neural Information Processing Systems, 2012
    [PDF] [Supplementary] [Code and Data]
  8. JinYeong Bak, Suin Kim, and Alice Oh. Self-disclosure and relationship strength in twitter conversations. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012.
    [PDF] [Slides]
  9. Suin Kim, JinYeong Bak, and Alice Oh. Do you feel what i feel? social aspects of emotions in twitter conversations. In Proceedings of the AAAI International Conference on Weblogs and Social Media, 2012.
    [PDF] [4-Page Poster] [Poster for 4-page paper]

EXPERIENCES

Reviewer and Program Committee

PROJECTS

TEACHING EXPERIENCES

TALKS

EXTRACURRICULAR ACTIVITIES

References