JinYeong Bak


박진영/JinYeong Bak/朴秦永

Ph.D.
KAIST
Daejeon, South Korea

jy.bak@kaist.ac.kr
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Research Statement

My research interests are in machine learning and natural language processing. In particular, I work in probabilistic Bayesian topic models and artificial neural networks to discover latent patterns such as user preferences and intentions in unannotated data such as conversational corpora.

I am on the job market. Please contact me if you are interested.

Education

Publications

  1. Speaker Sensitive Response Evaluation Model
    JinYeong Bak and Alice Oh.
    [ACL] In Proceedings of the Annual Meeting of the Association for Computational Linguistics, 2020.
    [PDF] [Code] [Lay Summary]
  2. Variational Hierarchical User-based Conversation Model
    JinYeong Bak and Alice Oh.
    [EMNLP] In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, 2019.
    [PDF] [Code]
  3. Conversational decision-making model for predicting the kings decision in the annals of the Joseon dynasty
    JinYeong Bak and Alice Oh.
    [EMNLP] In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018.
    [PDF] [Code and Data]
  4. Speech Emotion Classification using Raw Audio Input and Transcriptions
    Gabriel Lima and JinYeong Bak.
    [SPML] In Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, 2018
    [PDF]
  5. Rotated word vector representations and their interpretability
    Sungjoon Park, JinYeong Bak, and Alice Oh.
    [EMNLP] In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017.
    [PDF] [Code]
  6. Itchtector: A wearable-based mobile system for managing itching conditions
    Jongin Lee, Daeki Cho, Junhong Kim, Eunji Im, JinYeong Bak, Kwan Hong Lee, John Kim
    [CHI] In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017
    [PDF]
  7. Keyword expansion for understanding crisis events in indonesian tweets
    JinYeong Bak Imaduddin Amin, Jong Gun Lee, and Alice Oh.
    In ICML Workshop on Interactive MachineLearning and Semantic Information Retrieval, 2017
    [PDF] [Poster]
  8. Five centuries of monarchy in korea: Mining the text of the annals of the joseon dynasty
    JinYeong Bak and Alice Oh.
    [LaTeCH] In Proceedings of the 9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, 2015
    [PDF]
  9. Self-disclosure topic model for classifying and analyzing twitter conversations
    JinYeong Bak, Chin-Yew Lin, and Alice Oh.
    [EMNLP] In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014.
    [PDF] [Code and Data]
  10. Distributed online learning for latent dirichlet allocation
    JinYeong Bak, Dongwoo Kim, and Alice Oh.
    In Proceedings of Workshop on Big Learning : Algorithms, Systems, and Tools at the Neural Information Processing Systems, 2012
    [PDF] [Supplementary] [Code]
  11. Self-disclosure and relationship strength in twitter conversations
    JinYeong Bak, Suin Kim, and Alice Oh.
    [ACL] In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012.
    [PDF]
  12. Do you feel what I feel? social aspects of emotions in twitter conversations
    Suin Kim, JinYeong Bak, and Alice Oh.
    [ICWSM] In Proceedings of the AAAI International Conference on Weblogs and Social Media, 2012.
    [PDF] [4-Page Poster] [Poster for 4-page paper]
  13. Development of Mobile Sage-math and its use in Linear Algebra
    Rae Young Ko, Duk Sun Kim, JinYeong Bak, and Sang Gu Lee.
    In J. Korea Soc. Math. Ed. Ser. E: Communications of Mathematical Education, 2009.
    [PDF]
  14. The educational models using enhanced mathematics ICT in the Korean IT environments
    Duk Sun Kim, JinYeong Bak, and Sang Gu Lee.
    In J. Korea Soc. Math. Ed. Ser. E: Communications of Mathematical Education, 2008.
    [PDF]

Employment

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