Hyeju Jang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 25

Top Topics

Computational Modeling

Top Venues

SIGDIAL Conference

Publications

Jeonghoon Kim, Heesoo Jung, Hyeju Jang, Hogun Park
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning. ACL (Findings) (2024)
Ratanond Koonchanok, Yanling Pan, Hyeju Jang
Public attitudes toward chatgpt on twitter: sentiments, topics, and occupations. Soc. Netw. Anal. Min. 14 (1) (2024)
Rahul Mehta, Andrew Hoblitzell, Jack O'Keefe, Hyeju Jang, Vasudeva Varma
MetaCheckGPT - A Multi-task Hallucination Detector Using LLM Uncertainty and Meta-models. CoRR (2024)
Jeonghoon Kim, Heesoo Jung, Hyeju Jang, Hogun Park
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning. CoRR (2024)
Joongeun Choi, Hyeju Jang
Topic and Sentiment Analysis of Reddit's Vaping-Cessation Community. BIBM (2023)
Anuj Harisinghani, Harshinee Sriram, Cristina Conati, Giuseppe Carenini, Thalia Shoshana Field, Hyeju Jang, Gabriel Murray
Classification of Alzheimer's using Deep-learning Methods on Webcam-based Gaze Data. Proc. ACM Hum. Comput. Interact. 7 (ETRA) (2023)
Ratanond Koonchanok, Yanling Pan, Hyeju Jang
Tracking public attitudes toward ChatGPT on Twitter using sentiment analysis and topic modeling. CoRR (2023)
Weirui Kong, Hyeju Jang, Giuseppe Carenini, Thalia Shoshana Field
Exploring neural models for predicting dementia from language. Comput. Speech Lang. 68 (2021)
Hyeju Jang, Seojin Bang, Wen Xiao, Giuseppe Carenini, Raymond T. Ng, Young Ji Lee
KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification. DeeLIO@NAACL-HLT (2021)
Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP. CoRR (2021)
Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini
T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP. EMNLP (Demos) (2021)
Oswald Barral, Hyeju Jang, Sally Newton-Mason, Sheetal Shajan, Thomas Soroski, Giuseppe Carenini, Cristina Conati, Thalia Shoshana Field
Non-Invasive Classification of Alzheimer's Disease Using Eye Tracking and Language. MLHC (2020)
Hyeju Jang, Emily Rempel, Giuseppe Carenini, Naveed Janjua
Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes. NLP4COVID@EMNLP (2020)
Hyeju Jang, Emily Rempel, Giuseppe Carenini, Naveed Janjua
Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes. CoRR (2020)
Nadiya Straton, Hyeju Jang, Raymond T. Ng
Stigma Annotation Scheme and Stigmatized Language Detection in Health-Care Discussions on Social Media. LREC (2020)
Young Ji Lee, Grace Campbell, Victoria Han, Hyeju Jang
Dialog Act Classification for Automated Classification of Online Health Communities. AMIA (2019)
Hyeju Jang, Young Ji Lee, Giuseppe Carenini, Raymond T. Ng, Grace Campbell, Kendall Ho
Neural Prediction of Patient Needs in an Ovarian Cancer Online Discussion Forum. Canadian Conference on AI (2019)
Nadiya Straton, Hyeju Jang, Raymond T. Ng, Ravi Vatrapu, Raghava Rao Mukkamala
Computational modeling of stigmatized behaviour in pro-vaccination and anti-vaccination discussions on social media. BIBM (2019)
Amon Ge, Hyeju Jang, Giuseppe Carenini, Kendall Ho, Young Ji Lee
OCTVis: Ontology-Based Comparison of Topic Models. IEEE VIS (Short Papers) (2019)
Weirui Kong, Hyeju Jang, Giuseppe Carenini, Thalia Shoshana Field
A Neural Model for Predicting Dementia from Language. MLHC (2019)
Nadiya Straton, Raymond T. Ng, Hyeju Jang, Ravi Vatrapu, Raghava Rao Mukkamala
Predictive modelling of stigmatized behaviour in vaccination discussions on Facebook. BIBM (2019)
Yohan Jo, Michael Yoder, Hyeju Jang, Carolyn Penstein Rosé
Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences. EMNLP (2017)
Jack Mostow, Yi-Ting Huang, Hyeju Jang, Anders Weinstein, Joe Valeri, Donna Gates
Developing, evaluating, and refining an automatic generator of diagnostic multiple choice cloze questions to assess children's comprehension while reading. Nat. Lang. Eng. 23 (2) (2017)
Hyeju Jang, Keith Maki, Eduard H. Hovy, Carolyn Penstein Rosé
Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames. SIGDIAL Conference (2017)
Hyeju Jang, Yohan Jo, Qinlan Shen, Michael Miller, Seungwhan Moon, Carolyn Penstein Rosé
Metaphor Detection with Topic Transition, Emotion and Cognition in Context. ACL (1) (2016)
Hyeju Jang, Seungwhan Moon, Yohan Jo, Carolyn Penstein Rosé
Metaphor Detection in Discourse. SIGDIAL Conference (2015)
David Adamson, Gregory Dyke, Hyeju Jang, Carolyn Penstein Rosé
Towards an Agile Approach to Adapting Dynamic Collaboration Support to Student Needs. Int. J. Artif. Intell. Educ. 24 (1) (2014)
David Adamson, Colin Ashe, Hyeju Jang, David Yaron, Carolyn Penstein Rosé
Intensification of Group Knowledge Exchange with Academically Productive Talk Agents. CSCL (1) (2013)
Miaomiao Wen, Zeyu Zheng, Hyeju Jang, Guang Xiang, Carolyn Penstein Rosé
Extracting Events with Informal Temporal References in Personal Histories in Online Communities. ACL (2) (2013)
Hyeju Jang, Jack Mostow
Inferring Selectional Preferences from Part-Of-Speech N-grams. EACL (2012)
Jack Mostow, Hyeju Jang
Generating Diagnostic Multiple Choice Comprehension Cloze Questions. BEA@NAACL-HLT (2012)
Hyeju Jang, Seongchan Kim, Wookhyun Shin, Sung-Hyon Myaeng
Personal Information Access Using Proactive Search and Mobile Hypertext. IEEE Intell. Syst. 25 (1) (2010)
Hyeju Jang, Jongho Won, Changseok Bae
MEMORIA: Personal Memento Service Using Intelligent Gadgets. HCI (3) (2007)
Hyeju Jang, Sa-Kwang Song, Sung-Hyon Myaeng
Semantic Tagging for Medical Knowledge Tracking. EMBC (2006)
Hyeju Jang, Sa-Kwang Song, Sung-Hyon Myaeng
Text Mining for Medical Documents Using a Hidden Markov Model. AIRS (2006)
Hyeju Jang, Yun Jin, Sung-Hyon Myaeng
Integration of low level linguistic information for clinical document semantic tagging. IRI (2006)