Yohan Jo

Research Interests

Natural Language Processing, Argumentation and Persuasion, Conversational AI

Publications

  1. FactKG: Fact Verification via Reasoning on Knowledge Graph (To Appear)

    Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James Thorne, Edward Choi

    [ACL] Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023

  2. Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table (To Appear)

    Sunjun Kweon, Yeonsu Kwon, Seonhee Cho, Yohan Jo, Edward Choi

    [ACL-Findings] Findings of the Association for Computational Linguistics: ACL, 2023

  3. A Closer Look at the Intervention Procedure of Concept Bottleneck Models (To Appear)

    Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee

    [ICML] Proceedings of the 40th International Conference on Machine Learning, 2023

  4. Argument Mining for Review Helpfulness Prediction [Paper]

    Zaiqian Chen, Daniel Verdi do Amarante, Jenna Donaldson, Yohan Jo, Joonsuk Park

    [EMNLP] Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

  5. Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView [Paper]

    Emaad Manzoor, Yohan Jo, Alan L. Montgomery

    [EMNLP-Findings] Findings of the Association for Computational Linguistics: EMNLP, 2022

  6. Toward Computational Argumentation with Reasoning and Knowledge [PDF]

    Yohan Jo

    Ph.D. Thesis, 2021

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

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

    Yohan Jo*, Keith Maki*, Gaurav Tomar*

    arXiv:1809.04177 [cs.HC], 2018

  17. 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

  18. 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

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

    Yohan Jo, Lisa Lee, Shruti Palaskar

    arXiv:1709.02842 [cs.CL], 2017

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

    Yohan Jo

    arXiv:1703.08646 [cs.CL], 2017

  21. 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

  22. 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

  23. 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

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

  24. 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

  25. 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

  26. 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

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

    Suin Kim, JinYeong Bak, Yohan Jo, Alice Oh

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

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

    Dongwoo Kim, Yohan Jo, Alice Oh

    [Workshop] Workshop on Microblogging, 2010

  29. 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

Awards

  • WSDM Test of Time Award Honorable Mention @ International Conference on Web Search and Data Mining (2023)
  • CMU GuSH Research Grants (2019–2021)
  • CMU Presidential Fellowship (2019–2020)
  • Kwanjeong Scholarship by Kwanjeong Educational Foundation (2014–2020)
  • IJCNLP Best Student Paper Award @ International Joint Conference on Natural Language Processing (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)

Education

Work

Patents

  1. Apparatus, system, and method for searching for power user in social media

    YeoChan Yoon, Hyun-Ki Kim, Hyeon-Jin Kim, Hyo-Jung Oh, Chung-Hee Lee, Myung-Gil Jang, Yohan Jo, Mi-Ran Choi, Yoonjae Choi, Jeong Heo, Pum-Mo Ryu

    US9582835B2

  2. Apparatus, system, and method for detecting complex issues based on social media analysis

    Chung-Hee Lee, Hyeon-Jin Kim, Hyun-Ki Kim, Hyo-Jung Oh, Myung-Gil Jang, Yohan Jo, Pum-Mo Ryu, Jeong Heo, Miran Choi, YeoChan Yoon, Yoonjae Choi

    US9524337B2

  3. Apparatus and method for searching information based on Wikipedia's contents

    Pum-Mo Ryu, Hyun-Ki Kim, Sang-Kyu Park, Yong-Jin Bae, Jeong Heo, Hyo-Jung Oh, Chung-Hee Lee, Soo-Jong Lim, Myung-Gil Jang, Miran Choi, Yoonjae Choi, YeoChan Yoon, Yohan Jo

    US10037381B2

  4. Processing method for social media issue and server device supporting the same

    Jeong Heo, Hyun-Ki Kim, Sang-Kyu Park, Soo-Jong Lim, Yoonjae Choi, Miran Choi, Pum-Mo Ryu, Yong-Jin Bae, YeoChan Yoon, Myung-Gil Jang, Chung-Hee Lee, Yohan Jo, Hyo-Jung Oh

    US9418058B2

Teaching

  • 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

Services

Talks & Lectures

  • KAIST — Guest Lecture for "AI & Society" Course (Feb 2023)
  • Seoul National University — Data Science Seminar (Nov 2022)
  • 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)