Eun Young Ha
eha@ncsu.edu
I am a postdoctoral research associate in the Department of Computer Science at NCSU. I have been working with Dr. James C. Lester since joining the Intellimedia research group as a Ph.D student in the summer of 2006. My research interests lie in artificial intelligence and computational linguistics. I am particularly interested in applying statistical machine learning techniques for various research problems within the area of artificial intelligence and computational linguistics.
Education
Ph.D., Computer Science (2011)
North Carolina State University
M.S., Computer Science (2008)
North Carolina State University
Undergraduate Study, Computer Science (2001-2003)
Texas A&M University
B.A., English Language and Literature (1995)
Yonsei University, Seoul, South Korea
Honors
Best Paper Award, AIIDE 2011
Member of Phi Kappa Phi Honors Society
Certificate of Achievement for Academic Excellence, Texas A&M University
Dean’s Honor Award for Outstanding Academic Achievement, College of Engineering, Texas A&M University
Tuition Scholarship, Yonsei University
Book Chapters
Eun Young Ha, Jonathan Rowe, Bradford Mott, and James Lester. Recognizing Player Goals in Open-Ended Digital Games with Markov Logic Networks. In Sukthankar, G., Goldman, R., Geib, C., Pynadath, D., Bui, H. H. (Eds.), Plan, Activity and Intent Recognition: Theory and Practice, Morgan Kaufmann, Waltham, MA, pp. 289-311, 2014.
Journal Articles
James Lester, Eun Young Ha, Seung Lee, Bradford Mott, Jonathan Rowe, and Jennifer Sabourin. Serious Games Get Smart: Intelligent Game-Based Learning Environments. AI Magazine, 34(4), 31-45, 2013.
Chris Mitchell, Eun Young Ha, Kristy Elizabeth Boyer, and James Lester. Learner Characteristics and Dialogue: Recognizing Effective and Student-Adaptive Tutorial Strategies. International Journal of Learning Technology, 8(4), 382-403, 2013.
Kristy Elizabeth Boyer, Robert Phillips, Amy Ingram, Eun Young Ha, Michael D. Wallis, Mladen A. Vouk, and James C. Lester. Investigating the Relationship Between Dialogue Structure and Tutoring Effectiveness: A Hidden Markov Modeling Approach. International Journal of Artificial Intelligence in Education, 21(1-2), 65-81, 2011.
Conference Papers
Eun Young Ha, Chris Mitchell, Kristy Elizabeth Boyer, and James Lester. Learning Dialogue Management Models for Task-Oriented Dialogue with Parallel Dialogue and Task Streams. In Proceedings of the Fourteenth Annual Meeting of the Special Interest Group on Discourse and Dialogue, Metz, France, pp. 204-213, 2013.
Eun Young Ha, Jonathan Rowe, Bradford Mott, and James Lester. Goal Recognition with Markov Logic Networks for Player-Adaptive Games. In Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, Toronto, Ontario, Canada, pp. 2113-2119, 2012. (invited paper)
Eun Young Ha, Joe Grafsgaard, Chris Mitchell, Kristy Elizabeth Boyer, and James Lester. Combining Verbal and Nonverbal Features to Overcome the ‘Information Gap’ in Task-Oriented Dialogue. In Proceedings of the Thirteenth Annual SIGDIAL Meeting on Discourse and Dialogue, Seoul, South Korea, pp. 247-256, 2012.
Christopher M. Mitchell, Eun Young Ha, Kristy Elizabeth Boyer, James C. Lester. Recognizing Effective and Student-Adaptive Tutor Moves in Task-Oriented Tutorial Dialogue. In Proceedings of the Intelligent Tutoring Systems Track of the 25th International Conference of the Florida Artificial Intelligence Research Society, Marco Island, Florida, USA, 450-455, 2012.
Eun Y. Ha, Jonathan P. Rowe, Bradford W. Mott, and James C. Lester. Goal Recognition with Markov Logic Networks for Player-Adaptive Games. In Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Palo Alto, California, pp. 32-39, 2011. (Best Paper Award)
Kristy Elizabeth Boyer, Eun Young Ha, Robert Phillips, and James Lester. The Impact of Task-Oriented Feature Sets on HMMs for Dialogue Modeling. In Proceedings of the 12th Annual SIGdial meeting on Discourse and Dialogue, Portland, Oregon, pp. 49-58, 2011.
Kristy Elizabeth Boyer, Joseph Grafsgaard, Eun Young Ha, Robert Phillips, and James Lester. An Affect-Enriched Dialogue Act Classification Model for Task-Oriented Dialogue. In Proceedings of the 49th Annual Meeting of the Association of Computational Linguistics Human Language Technologies Conference, Portland, Oregon, pp. 1190-1199, 2011.
Kristy Elizabeth Boyer, Robert Phillips, Eun Young Ha, Michael D. Wallis, Mladen A. Vouk, and James C. Lester. Learning a Tutorial Dialogue Policy for Delayed Feedback. In Proceedings of the 24th International Conference of the Florida Artificial Intelligence Research Society, Intelligent Tutoring Systems Track, Palm Beach, Florida, pp. 489-494, 2011.
Eun Young Ha, Alok Baikadi, Carlyle J. Licata, Bradford W. Mott and James C. Lester. Exploring the Effectiveness of Lexical Ontologies for Modeling Temporal Relations with Markov Logic. In Proceedings of the Eleventh Annual SIGDIAL Meeting on Discourse and Dialogue, Tokyo, Japan, pp. 75-78, 2010.
Kristy Elizabeth Boyer, Eun Young Ha, Robert Phillips, and James C. Lester. Dialogue Act Modeling in a Complex Task-Oriented Domain. In Proceedings of the Eleventh Annual SIGDIAL Meeting on Discourse and Dialogue, Tokyo, Japan, pp. 297-305, 2010.
Kristy Elizabeth Boyer, Robert Phillips, Amy Ingram, Eun Young Ha, Michael D. Wallis, Mladen A. Vouk, and James C. Lester.Characterizing the Effectiveness of Tutorial Dialogue with Hidden Markov Models. In Proceedings of the Tenth International Conference on Intelligent Tutoring Systems, Pittsburgh, Pennsylvania, pp. 55-64, 2010. (Best Student Paper Award Nominee.)
Kristy Elizabeth Boyer, Robert Phillips, Eun Young Ha, Michael D. Wallis, Mladen A. Vouk and James C. Lester. A Preliminary Investigation of Hierarchical Hidden Markov Models for Tutorial Planning. In Proceedings of the Third International Conference on Educational Data Mining, Pittsburgh, Pennsylvania, pp. 285-286, 2010.
Kristy Elizabeth Boyer, Eun Young Ha, Michael Wallis, Robert Phillips, Mladen Vouk, and James Lester. Discovering Tutorial Dialogue Strategies with Hidden Markov Models. In Proceedings of the Fourteenth International Conference on Artificial Intelligence in Education, Brighton, U.K., pp. 141-148, 2009.
Kristy Elizabeth Boyer, Robert Phillips, Eun Young Ha, Michael Wallis, Mladen Vouk, and James Lester. Modeling Dialogue Structure with Adjacency Pair Analysis and Hidden Markov Models. In Proceedings of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies Conference Companion Volume, Boulder, Colorado, pp. 49-52, 2009.
Jonathan Rowe, Eun Young Ha, James Lester. Archetype-Driven Character Dialogue Generation for Interactive Narrative. In Proceedings of the Eighth International Conference on Intelligent Virtual Agents, Tokyo, Japan, pp. 45-58, 2008.
Scott McQuiggan, Julius Goth, Eunyoung Ha, Jonathan Rowe, and James Lester. Student Note-Taking in Narrative-Centered Learning Environments: Individual Differences and Learning Outcomes. In Proceedings of the Ninth International Conference on Intelligent Tutoring Systems, Montreal, Canada, pp. 510-519, 2008.
Symposium and Workshop Papers
Julius Goth, Eun Ha, and James Lester. Towards a Model of Question Generation for Promoting Creativity in Novice Writers. To appear in Proceedings of AAAI Symposium on Question Generation, Arlington, Virginia, 23-26, 2011.
Alok Baikadi, Julius Goth, Chris Mitchell, Eun Ha, Bradford Mott, and James Lester. Towards a Computational Model of Narrative Visualization. In Proceedings of AI and Interactive Digital Entertainment Conference Workshop on Intelligent Narrative Technologies (INT4), Stanford, CA, 2-9, 2011.
Eun Young Ha, Alok Baikadi, Carlyle Licata, and James C. Lester. NCSU: Modeling Temporal Relations with Markov Logic and Lexical Ontology. In Proceedings of the Fifth International Workshop on Semantic Evaluation, Uppsala, Sweden, pp. 341-344. 2010.
Julius Goth, Alok Baikadi, Eun Young Ha, Jonathan Rowe, Bradford Mott, and James Lester. Exploring Individual Differences in Student Writing with a Narrative Composition Support Environment. In Proceedings of the First NAACL HLT Workshop on Computational Linguistics & Writing (CL&W), Los Angeles, California, pp. 56-64, 2010.
Kristy Elizabeth Boyer, Robert Phillips, Eun Young Ha, Michael D. Wallis, Mladen A. Vouk, James C. Lester. Leveraging Hidden Dialogue State to Select Tutorial Moves. In Proceedings of the Fifth NAACL HLT Workshop on Innovative Use of NLP for Building Educational Applications, Los Angeles, California, pp. 66-73. 2010.
Kristy Elizabeth Boyer, Eun Young Ha, Robert Phillips, Michael D. Wallis, Mladen A. Vouk, James C. Lester. Inferring Tutorial Dialogue Structure with Hidden Markov Modeling. In Proceedings of the Fourth NAACL HLT Workshop on Innovative Use of NLP for Building Educational Applications (EducationNLP), Boulder, Colorado, pp. 19-26, 2009.
Projects
JavaTutor: A natural language tutorial dialogue project for 1st year post-secondary computer science education.
The Narrative Theatre: An intelligent creativity-enhancement environment for 6th grade writing education.