Yohan Jo

Research Interests

Natural Language Processing, Conversational AI

Publications

  1. Knowledge-Enhanced Evidence Retrieval for Counterargument Generation [Paper]

    Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed, Eduard Hovy

    [EMNLP-Findings] Findings of the Association for Computational Linguistics: EMNLP, 2021

  2. Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes [Paper|Git]

    Yohan Jo, Seojin Bang, Chris Reed, Eduard Hovy

    [TACL] Transactions of the Association for Computational Linguistics, vol. 9, 2021

  3. Detecting Attackable Sentences in Arguments [Paper]

    Yohan Jo, Seojin Bang, Emaad Manzoor, Eduard Hovy, Chris Reed

    [EMNLP] Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

  4. Extracting Implicitly Asserted Propositions in Argumentation [Paper]

    Yohan Jo, Jacky Visser, Chris Reed, Eduard Hovy

    [EMNLP] Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

  5. Machine-Aided Annotation for Fine-Grained Proposition Types in Argumentation [Paper]

    Yohan Jo, Elijah Mayfield, Chris Reed, Eduard Hovy

    [LREC] Proceedings of the 12th International Conference on Language Resources and Evaluation, 2020

  6. A Cascade Model for Proposition Extraction in Argumentation [Paper]

    Yohan Jo, Jacky Visser, Chris Reed, Eduard Hovy

    Proceedings of the 6th Workshop on Argument Mining, 2019

  7. Using Functional Schemas to Understand Social Media Narratives [Paper]

    Xinru Yan, Aakanksha Naik, Yohan Jo, Carolyn P. Rose

    Proceedings of the Second Workshop on Storytelling, 2019

  8. 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

  9. 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

  10. Time Series Analysis of Clickstream Logs from Online Courses [Report]

    Yohan Jo*, Keith Maki*, Gaurav Tomar*

    arXiv:1809.04177 [cs.HC], 2018

  11. 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

  12. 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

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

    Yohan Jo, Lisa Lee, Shruti Palaskar

    arXiv:1709.02842 [cs.CL], 2017

  14. Simplifying the Bible and Wikipedia Using Statistical Machine Translation [Report]

    Yohan Jo

    arXiv:1703.08646 [cs.CL], 2017

  15. 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

  16. 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

  17. Pipeline for Expediting Learning Analytics and Student Support from Data in Social Learning [Paper|Poster]

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

    Poster at the 6th International Learning Analytics and Knowledge Conference (LAK), 2016

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

Education

Work

Awards

  • CMU GuSH Research Grants (2019–2021)
  • CMU Presidential Fellowship (2019–2020)
  • Kwanjeong Scholarship by Kwanjeong Educational Foundation (2014–2020)
  • Best Student Paper Award at the 8th International Joint Conference on Natural Language Processing (IJCNLP) (2017)
  • Outstanding Master's Thesis Award by the KAIST School of Computing (2011)
  • Graduation with Honors, Summa Cum Laude (2009)
  • National Research Scholarship by the Korea Student Aid Foundation (2009–2011)
  • National Scholarship by the Korea Student Aid Foundation (2004–2008)

Teaching

(Statement)

  • Teaching Assistant, Carnegie Mellon University (Spring & Fall 2019)
    • Introduction to Natural Language Processing
  • Teacher, Pittsburgh Westinghouse Academy 6–12 (TEALS) (Aug 2017–May 2018)
    • Programming for high school students at Westinghouse Academy 6–12
  • Teacher, Carnegie Library of Pittsburgh (June 2015–June 2016)
    • Korean for Pittsburgh residents
  • Teacher, Edushare (Feb–May 2010)
    • Math for middle school students from low-income families
  • Teaching Assistant, KAIST (Spring & Fall 2009)
    • Algorithms for undergraduate students in Problem Solving course

Talks & Lectures

  • Ulsan National Institute of Science and Technology (UNIST) — Guest Lecture for "Artificial Intelligence" Course (Dec 2021)
  • Seoul National University — Guest Lecture for "Computing Foundations for Data Science" Course (Nov 2021)
  • Gwangju Institute of Science and Technology (GIST) — Integrated Technology Seminar (Nov 2021)
  • Workshop on Argumentation Knowledge Graph @ AKBC — Keynote (Oct 2021)
  • University of Minnesota, Twin Cities — NLP Seminar (Sept 2021)
  • Sungkyunkwan University — AI Seminar (Jul 2021)
  • CMU — Guest Lecture for "Computational Semantics for NLP" Course (Apr 2020)
  • CMU — Guest Lecture for "Intro to NLP" Course (Apr 2020 & Nov 2019)