I am an assistant professor in the Department of Computer Science in the Luddy School of Informatics, Computing, and Engineering at Indiana University Indianapolis.
I am also an affiliate professor in the Department of Computer Science at the University of British Columbia .
My work explores language use from a computational perspective to facilitate human communication. Using Machine Learning and Natural Language Processing (NLP) techniques, I discover patterns in text and build computational models of language use that are able to process large amounts of linguistic data. I investigate how people use language by bridging computer science and the disciplines of linguistics and psychology in the application domains such as health care and education.
I am seeking a highly motivated student with a strong background in ML/NLP for our Ph.D. program. If you are interested, please send me your resume, unofficial transcripts, and a brief description of your research interests.
* : equal contribution, alphabetically ordered
Dissertation
Computational Modeling of Metaphor in Discourse
PhD thesis, Carnegie Mellon University, 2017.
2024
Generating Descriptive Explanations of Machine Learning Models Using LLM
Andrew Pang, Hyeju Jang, and Shiaofen Fang
From Theory to Practice: Workshop on Large Language and Foundation Models at IEEE Big Data (accepted for publication)
Unsupervised Hypernymy Directionality Prediction Using Context Terms
Thushara Naduvilakandy, Hyeju Jang, Mohammad A. Hasan
Natural Language Processing Journal (accepted for publication)
Multimodal Classification of Alzheimer’s Disease by Combining Facial and Eye-Tracking Data
Shih-Han Chou, Miini YC M Teng, Harshinee Sriram, Chuyuan Li, Giuseppe Carenini, Cristina Conati, Thalia Field, Hyeju Jang, Gabriel Murray
Machine Learning for Health Symposium (ML4H) (accepted for publication)
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning
Jeonghoon Kim, Heesoo Jung, Hyeju Jang, Hogun Park
Findings of the Association for Computational Linguistics (Findings of ACL)
Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection Using LLM Uncertainty and Meta-models
Rahul Mehta, Andrew Hoblitzell, Jack O’Keefe, Hyeju Jang, Vasudeva Varma
International Workshop on Semantic Evaluation (SemEval) at NAACL
Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and Occupations
Ratanond Koonchanok, Yanling Pan, Hyeju Jang
Social Network Analysis and Mining
2023
Topic and Sentiment Analysis of Reddit’s Vaping-Cessation Community
Joongeun Choi, Hyeju Jang
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Prediction of Alzheimer's Using Deep-learning Methods on Webcam-Based Gaze Data
Anuj Harisinghani, Cristina Conati*, Giuseppe Carenini*, Thalia Field*, Hyeju Jang*, Gabriel Murray*
ACM Symposium on Eye Tracking Research & Applications (ETRA)
2022
Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis
Thomas Soroski, Thiago da Cunha Vasco, Sally Newton-Mason, Saffrin Granby, Caitlin Lewis, Anuj Harisinghani, Matteo Rizzo, Cristina Conati, Gabriel Murray, Giuseppe Carenini, Thalia Field, Hyeju Jang
Journal of Medical Internet Research Aging (JMIR Aging)
Tracking Public Attitudes toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-based Sentiment Analysis
Hyeju Jang, Emily Rempel, Ian Roe, Giuseppe Carenini, Naveed Janjua, Giuseppe Carenini
Journal of Medical Internet Research (JMIR)
2021
T3-Vis: a visual analytic framework for Training and fine-TuningTransformers in NLP
Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang , Giuseppe Carenini
In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP)
Classification of Alzheimer’s Disease Leveraging Multi-Task Machine Learning Analysis of Speech and Eye-Movement Data
Hyeju Jang , Thomas Soroski, Matteo Rizzo, Oswald Barral, Anuj Harisinghani, Sally Newton-Mason, Saffrin Granby, Caitlin Lewis, Pavan Tutt, Giuseppe Carenini, Cristina Conati, Thalia Field
Frontiers in Human Neuroscience, vol. 15 (2021)
Classification of
Alzheimer’s Disease Leveraging Multi-Task Language and Eye-Movement Data
Hyeju Jang , Thomas Soroski, Oswald Barral, Anuj Harisinghani, Matteo Rizzo, Saffrin Granby, Sally Newton-
Mason, Pavan Tutt, Caitlin Lewis, Giuseppe Carenini, Cristina Conati, Thalia Field
Workshop on AI for Aging,
Rehabiliation and Intelligent Assisted Living (ARIAL) at IJCAI
KW-ATTN: Knowledge
Infused Attention for Accurate and Interpretable Text Classification
Hyeju Jang , Seojin Bang, Wen Xiao, Giuseppe Carenini, Raymond Ng, Young Ji Lee
In Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures at NAACL, pp. 96-107
Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-based Sentiment Analysis
Hyeju Jang , Emily Rempel, David Roth, Giuseppe Carenini, Naveed Z. Janjua
Journal of Medical Internet Research (JMIR)
Identifying Language Features Associated with Needs of Ovarian Cancer Patients and Caregivers Using Social Media
Young Ji Lee, Hyeju Jang , Grace Campbell, Giuseppe Carenini, Teresa Thomas, Heidi Donovan
Cancer Nursing
Exploring Neural Models for Predicting Dementia from Language
Weirui Kong, Hyeju Jang , Giuseppe Carenini, Thalia Field
Computer Speech and Language, 68 (2021) 101181
2020
Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes
Hyeju Jang , Emily Rempel, Giuseppe Carenini, Naveed Janjua
In Proceedings of EMNLP Workshop on NLP for COVID-19 (Part 2)
Non-Invasive Classification of Alzheimer’s Disease Using Eye Tracking and Language
Oswald Barral*, Hyeju Jang*, Sally Newton-Mason, Sheetal Shajan, Thomas Soroski, Giuseppe Carenini, Cristina Conati, Thalia Field
In Proceedings of Machine Learning for Healthcare Conference (MLHC), pp. 813-841
Stigma Annotation Scheme and Stigmatized Language Detection in Health-Care Discussions on Social Media
Nadiya Straton, Hyeju Jang, Raymond Ng
In Proceedings of The 12th Language Resources and Evaluation Conference (LREC), pp. 1178-1190
2019
OCTVis: Ontology-based Comparison of Topic Models
Amon Ge, Hyeju Jang, Giuseppe Carenini, Kendall Ho, Young Ji Lee
In Proceedings of IEEE Visualization Conference (VIS), pp. 66-70
Predictive modelling of stigmatized behaviour in vaccination discussions on Facebook
Nadiya Straton, Raymond Ng, Hyeju Jang, Ravi Vatrapu, Raghava Rao Mukkaamala
In Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2561-2568
Computational modeling of stigmatized behaviour in pro-vaccination and anti-vaccination discussions on social media
Nadiya Straton, Hyeju Jang, Raymond Ng, Ravi Vatrapu, Raghava Rao Mukkaamala
In Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2673-2681
A Neural Model for Predicting Dementia from Language
Weirui Kong, Hyeju Jang, Giuseppe Carenini, Thalia Field
In Proceedings of Machine Learning for Healthcare Conference (MLHC), pp. 270-286
Predicting Patient Needs on an Ovarian Cancer Online Discussion Forum
Hyeju Jang, Young Ji Lee, Giuseppe Carnenini, Raymond Ng, Grace Campbell, Kendall Ho
In Proceedings of Canadian Conference on Artificial Intelligence (CanAI), pp. 492-497
2018
Exploring Discourse Coherence Features for Dementia Detection
Hyeju Jang, Vaden Masrani, Giuseppe Carenini, Raymond Ng, Gabriel Murray, Thalia Field
5th Pacific Northwest Regional NLP Workshop (NW-NLP)
Infrequent Discourse Relation Identification Using Data Programming
Xing Zeng, Giuseppe Carenini, Raymond Ng, Hyeju Jang
5th Pacific Northwest Regional NLP Workshop (NW-NLP)
2017
Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames
Hyeju Jang, Keith Maki, Eduard Hovy, Carolyn Penstein Rosé
In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL), pp. 320-330
Modeling Dialogue Acts Using Content Word Filtering and Speaker Preferences
Yohan Jo, Michael Miller, Hyeju Jang, Carolyn Penstein Rosé
In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 2169-2179
2016
Metaphor Detection with Topic Transition, Emotion and Cognition in Context
Hyeju Jang, Yohan Jo, Qinlan Shen, Michael Miller, Seungwhan Moon, Carolyn Penstein Rosé
In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 216-225
Developing, evaluating, and refining an automatic generator of diagnostic multiple choice cloze questions to assess children's comprehension while reading
Jack Mostow, Yi-Ting Huang, Hyeju Jang, Anders Weinstein, Joe Valeri, Donna Gates
Natural Language Engineering, doi:10.1017/S1351324916000024, pp. 1-50
2015
Metaphor Detection in Discourse
Hyeju Jang, Seunghwan Moon, Yohan Jo, Carolyn Penstein Rosé
In Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pp. 384-392.
Effects of Situational Factors on Metaphor Detection in an Online Discussion Forum
Hyeju Jang, Miaomiao Wen, Carolyn Penstein Rosé
In Proceedings of the Third Workshop on Metaphor in NLP at NAACL, pp. 1-10
2014
Towards an agile approach to adapting dynamic collaboration support to student needs
David Adamson, Gregory Dyke, Hyeju Jang, Carolyn Penstein Rosé
International Journal of Artificial Intelligence in Education 24.1 (2014): 92-124
Conversational Metaphors in Use: Exploring the Contrast between Technical and Every Day Notions of Metaphor
Hyeju Jang, Mario Piergallini, Miaomiao Wen, Carolyn Penstein Rosé
In Proceedings of the Second Workshop on Metaphor in NLP at ACL, pp. 1-10
2013
Intensification of Group Knowledge Exchange with Academically Productive Talk Agents
David Adamson, Colin Ashe, Hyeju Jang, David Yaron, Carolyn Penstein Rosé
In Proceedings of the Conference on Computer Collaborative Supportive Learning (CSCL), pp. 10-17
Extracting Events with Informal Temporal References in Personal Histories in Online Communities
Miaomiao Wen, Zeyu Zheng, Hyeju Jang, Guang Xiang, Carolyn Penstein Rosé
In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), pp. 836-842
2012
Inferring Selectional Preferences from Part-of-Speech N-grams
Hyeju Jang, Jack Mostow
In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp. 377-386
Generating Diagnostic Multiple Choice Comprehension Cloze Questions
Jack Mostow, Hyeju Jang
In Proceedings of the Seventh Workshop on Building Educational Applications Using NLP at NAACL, pp. 136-146
2011
Procedural Entity Extraction for Procedural Knowledge on Medline Abstracts
Sakwang Song, Hungsun Oh, Yoonjung Choi, Hyeju Jang, Sung-Hyon Myaeng, Sungpil Choi, Yunsoo Choi
In Proceedings of the Korean Information Science Society Conference, pp. 154-157
2010
Personal Information Access Using Proactive Search and Mobile Hypertext
Hyeju Jang, Seongchan Kim, Wookhyun Shin, Sung-Hyon Myaeng
IEEE Intelligent Systems, vol. 25, no. 1, pp. 27-36
2008
Personalized Healthcare through Intelligent Gadgets
Hyeju Jang, Sanghyun Kim, Changseok Bae
In Proceedings of the 30th Annual International Conference IEEE Engineering in Medicine and Biology Society (IEEE-EMBC), pp. 3308-3311
Context Representation of Intelligent Gadgets for Event-driven Services
Hyeju Jang, Kuksang Jeong, Jongho Won, Changseok Bae
In Proceedings of the International Conference on Consumer Electronics (ICCE), pp. 1-2
2007
MEMORIA: Personal Memento Service Using Intelligent Gadgets
Hyeju Jang, Jongho Won, Changseok Bae
In Proceedings of the HCI International Conference (HCII), pp. 331-339
2006
Integration of Low Level Linguistic Information for Clinical Document Semantic Tagging
Hyeju Jang, Yun Jin, Sung Hyon Myaeng
In Proceedings of the IEEE Conference on Information Reuse and Integration (IEEE-IRI), pp. 292-297
Text Mining for Medical Documents Using a Hidden Markov Model
Hyeju Jang, Sa Kwang Song, Sung Hyon Myaeng
In Proceedings of the Asia Information Retrieval Symposium (AIRS), LNCS 4182, pp. 553-559
Semantic Tagging for Medical Knowledge Tracking
Hyeju Jang, Sa Kwang Song, Sung Hyon Myaeng
In Proceedings of the 28th Annual International Conference IEEE Engineering in Medicine and Biology Society (IEEE-EMBC), pp. 6257-6260
High Level Semantic Tagging in Clinical Documents Using a HMM Model
Hyeju Jang, Sa Kwang Song, Sung Hyon Myaeng
In Proceedings of the Korean Information Science Society Conference, pp. 19-21
Design of Topic Detection and Tracking System for QA in Encyclopedia
Hyeju Jang, Yuchul Jung, Bo-Yeong Kang, Sa Kwang Song, Yun Jin, Hoon Song, Sung Hyon Myaeng
In Proceedings of the Korean Information Science Society Conference, pp. 22-24
