Text Mining for Medical Documents Using a Hidden Markov Model. - Hyeju Jang; Sa-Kwang Song; Sung-Hyon Myaeng (AIRS, 2006)

Semantic Tagging for Medical Knowledge Tracking. - Hyeju Jang; Sa-Kwang Song; Sung-Hyon Myaeng (EMBC, 2006)

Integration of low level linguistic information for clinical document semantic tagging. - Hyeju Jang; Yun Jin; Sung-Hyon Myaeng (IRI, 2006)

MEMORIA: Personal Memento Service Using Intelligent Gadgets. - Hyeju Jang; Jongho Won; Changseok Bae (HCI (3), 2007)

Personal Information Access Using Proactive Search and Mobile Hypertext. - Hyeju Jang; Seongchan Kim; Wookhyun Shin; Sung-Hyon Myaeng (IEEE Intell. Syst., 2010)

Generating Diagnostic Multiple Choice Comprehension Cloze Questions. - Jack Mostow; Hyeju Jang (BEA@NAACL-HLT, 2012)

Inferring Selectional Preferences from Part-Of-Speech N-grams. - Hyeju Jang; Jack Mostow (EACL, 2012)

Extracting Events with Informal Temporal References in Personal Histories in Online Communities. - Miaomiao Wen; Zeyu Zheng; Hyeju Jang; Guang Xiang; Carolyn Penstein Rosé (ACL (2), 2013)

Intensification of Group Knowledge Exchange with Academically Productive Talk Agents. - David Adamson; Colin Ashe; Hyeju Jang; David Yaron; Carolyn P. Rosé (CSCL (1), 2013)

Towards an Agile Approach to Adapting Dynamic Collaboration Support to Student Needs. - David Adamson; Gregory Dyke; Hyeju Jang; Carolyn Penstein Rosé (Int. J. Artif. Intell. Educ., 2014)

Metaphor Detection in Discourse. - Hyeju Jang; Seungwhan Moon; Yohan Jo; Carolyn P. Rosé (SIGDIAL Conference, 2015)

Metaphor Detection with Topic Transition, Emotion and Cognition in Context. - Hyeju Jang; Yohan Jo; Qinlan Shen; Michael Miller 002; Seungwhan Moon; Carolyn P. Rosé (ACL (1), 2016)

Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences. - Yohan Jo; Michael Yoder 001; Hyeju Jang; Carolyn P. Rosé (EMNLP, 2017)

Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames. - Hyeju Jang; Keith Maki; Eduard H. Hovy; Carolyn P. Rosé (SIGDIAL Conference, 2017)

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 (Nat. Lang. Eng., 2017)

Neural Prediction of Patient Needs in an Ovarian Cancer Online Discussion Forum. - Hyeju Jang; Young Ji Lee; Giuseppe Carenini; Raymond T. Ng; Grace Campbell; Kendall Ho (Canadian AI, 2019)

Dialog Act Classification for Automated Classification of Online Health Communities. - Young Ji Lee; Grace Campbell; Victoria Han; Hyeju Jang (AMIA, 2019)

Computational modeling of stigmatized behaviour in pro-vaccination and anti-vaccination discussions on social media. - Nadiya Straton; Hyeju Jang; Raymond T. Ng; Ravi Vatrapu; Raghava Rao Mukkamala (BIBM, 2019)

Predictive modelling of stigmatized behaviour in vaccination discussions on Facebook. - Nadiya Straton; Raymond T. Ng; Hyeju Jang; Ravi Vatrapu; Raghava Rao Mukkamala (BIBM, 2019)

A Neural Model for Predicting Dementia from Language. - Weirui Kong; Hyeju Jang; Giuseppe Carenini; Thalia Shoshana Field (MLHC, 2019)

OCTVis: Ontology-Based Comparison of Topic Models. - Amon Ge; Hyeju Jang; Giuseppe Carenini; Kendall Ho; Young Ji Lee (IEEE VIS (Short Papers), 2019)

Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes. - Hyeju Jang; Emily Rempel; Giuseppe Carenini; Naveed Z. Janjua (NLP4COVID@EMNLP, 2020)

Stigma Annotation Scheme and Stigmatized Language Detection in Health-Care Discussions on Social Media. - Nadiya Straton; Hyeju Jang; Raymond T. Ng (LREC, 2020)

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 Shoshana Field (MLHC, 2020)

KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification. - Hyeju Jang; Seojin Bang; Wen Xiao; Giuseppe Carenini; Raymond T. Ng; Young Ji Lee (DeeLIO@NAACL-HLT, 2021)

T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP. - Raymond Li; Wen Xiao; Lanjun Wang; Hyeju Jang; Giuseppe Carenini (EMNLP (Demos), 2021)

T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP. - Raymond Li; Wen Xiao; Lanjun Wang; Hyeju Jang; Giuseppe Carenini (CoRR, 2021)

Exploring neural models for predicting dementia from language. - Weirui Kong; Hyeju Jang; Giuseppe Carenini; Thalia Shoshana Field (Comput. Speech Lang., 2021)

Topic and Sentiment Analysis of Reddit's Vaping-Cessation Community. - Joongeun Choi; Hyeju Jang (BIBM, 2023)

Tracking public attitudes toward ChatGPT on Twitter using sentiment analysis and topic modeling. - Ratanond Koonchanok; Yanling Pan; Hyeju Jang (CoRR, 2023)

Classification of Alzheimer's using Deep-learning Methods on Webcam-based Gaze Data. - Anuj Harisinghani; Harshinee Sriram; Cristina Conati; Giuseppe Carenini; Thalia Shoshana Field; Hyeju Jang; Gabriel Murray (Proc. ACM Hum. Comput. Interact., 2023)

Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning. - Jeonghoon Kim; Heesoo Jung; Hyeju Jang; Hogun Park (ACL (Findings), 2024)

Generating Descriptive Explanations of Machine Learning Models Using LLM. - Andrew Pang; Hyeju Jang; Shiaofen Fang (IEEE Big Data, 2024)

Multimodal Classification of Alzheimer's Disease by Combining Facial and Eye-Tracking Data. - Shih-Han Chou; Miini Teng; Harshinee Sriram; Chuyuan Li; Giuseppe Carenini; Cristina Conati; Thalia Shoshana Field; Hyeju Jang; Gabriel Murray (ML4H@NeurIPS, 2024)

Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models. - Rahul Mehta 008; Andrew Hoblitzell; Jack O'Keefe; Hyeju Jang; Vasudeva Varma (SemEval@NAACL, 2024)

MetaCheckGPT - A Multi-task Hallucination Detector Using LLM Uncertainty and Meta-models. - Rahul Mehta 008; Andrew Hoblitzell; Jack O'Keefe; Hyeju Jang; Vasudeva Varma (CoRR, 2024)

Unsupervised hypernymy directionality prediction using context terms. - Thushara Manjari Naduvilakandy; Hyeju Jang; Mohammad Al Hasan (Nat. Lang. Process. J., 2024)

Computational Modeling of Metaphor in Discourse - Hyeju Jang (2024)

Public attitudes toward chatgpt on twitter: sentiments, topics, and occupations. - Ratanond Koonchanok; Yanling Pan; Hyeju Jang (Soc. Netw. Anal. Min., 2024)

Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation. - Jiwon Jeong; Hyeju Jang; Hogun Park (NAACL (Findings), 2025)

Retrieval Augmented Generation based Large Language Models for Causality Mining. - Thushara Manjari Naduvilakandy; Hyeju Jang; Mohammad Al Hasan (CoRR, 2025)