Yohan Jo

Yohan Jo (์กฐ์š”ํ•œ)

PhD Student

Language Technologies Institute

School of Computer Science

Carnegie Mellon University


Research Interests

My research interests are at the interaction of language technologies and human learning. I've loved teaching and mentoring diverse groups of students. Such joy has motivated my research — now centered on computational analysis of linguistic factors for persuasiveness in civil discourse, in terms of rhetorical and argumentative moves. A large portion of my research concerns identifying and operationalizing various types of conversational constructs, by designing un/semi/indirectly-supervised models informed by how humans use language.

Selected Publications

  1. Attentive Interaction Model: Modeling Changes in View in Argumentation [Paper|Homepage]

    Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn P. Rose, Graham Neubig

    [NAACL] Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

  2. Perceptions of Censorship and Moderation in Political Debate Forums [Paper|Homepage]

    Qinlan Shen, Michael Yoder, Yohan Jo, Carolyn P. Rose

    [ICWSM] Proceedings of the 12th International AAAI Conference on Web and Social Media, 2018

  3. Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior [Paper]

    Keith Maki, Michael Miller Yoder, Yohan Jo, Carolyn P. Rose

    [IJCNLP] Proceedings of the 8th International Joint Conference on Natural Language Processing, 2017

    Best Student Paper Award

  4. Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences [Paper|Homepage]

    Yohan Jo, Michael Miller Yoder, Hyeju Jang, Carolyn P. Rose

    [EMNLP] Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

  5. Combining LSTM and Latent Topic Modeling for Mortality Prediction [Report]

    Yohan Jo, Lisa Lee, Shruti Palaskar

    arXiv:1709.02842 [cs.CL], 2017

  6. Metaphor Detection Using Topic Transition, Emotion, and Cognition in Context [Paper]

    Hyeju Jang, Yohan Jo, Michael Miller, Qinlan Shen, Seungwhan Moon, Carolyn P. Rose

    [ACL] Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

  7. Expediting Support for Social Learning with Behavior Modeling [Paper|TechReport]

    Yohan Jo, Gaurav Tomar, Oliver Ferschke, Carolyn P. Rose, Dragan Gasevic

    [EDM] Proceedings of the 9th International Conference on Educational Data Mining, 2016

  8. Time Series Analysis of Nursing Notes for Mortality Prediction via State Transition Topic Model [Paper|Slides|Home]

    Yohan Jo, Natasha Loghmanpour, Carolyn P. Rose

    [CIKM] Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

  9. Metaphor Detection in Discourse [Paper]

    Hyeju Jang, Seungwhan Moon, Yohan Jo, Carolyn P. Rose

    [SIGDial] Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2015

  10. Do you feel what I feel? Social Aspects of Emotions in Twitter Conversations [Paper]

    Suin Kim, JinYeong Bak, Yohan Jo, Alice Oh

    Workshop on Computational Social Science and the Wisdom of Crowds, 2011

  11. Aspect and Sentiment Unification Model for Online Review Analysis [Paper|Home]

    Yohan Jo, Alice Oh

    [WSDM] Proceedings of the 4th ACM International Conference on Web Search and Data Mining, 2011

  12. Learning Influence Propagation of Personal Blogs with Content and Network Analyses [Paper]

    Il-Chul Moon, Dongwoo Kim, Yohan Jo, Alice Oh

    [SocialCom] Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

  13. Analysis of Twitter Lists as a Potential Source for Discovering Latent Characteristics of Users [Paper]

    Dongwoo Kim, Yohan Jo, Alice Oh

    Workshop on Microblogging, 2010


Gratefully I'm visiting the Centre for Argument Technology (ARG-tech) this semester and working on argument technology.