| Towards an agile approach to adapting dynamic collaboration support to student needs D Adamson, G Dyke, H Jang, CP Rosé International Journal of Artificial Intelligence in Education 24, 92-124, 2014 | 222 | 2014 |
| Tracking COVID-19 discourse on Twitter in North America: infodemiology study using topic modeling and aspect-based sentiment analysis H Jang, E Rempel, D Roth, G Carenini, NZ Janjua Journal of medical Internet research 23 (2), e25431, 2021 | 161 | 2021 |
| Generating diagnostic multiple choice comprehension cloze questions J Mostow, H Jang Proceedings of the Seventh Workshop on Building Educational Applications …, 2012 | 58 | 2012 |
| Metaphor detection in discourse H Jang, S Moon, Y Jo, C Rose Proceedings of the 16th Annual Meeting of the Special Interest Group on …, 2015 | 40 | 2015 |
| A neural model for predicting dementia from language W Kong, H Jang, G Carenini, T Field Machine Learning for Healthcare Conference, 270-286, 2019 | 39 | 2019 |
| Intensification of group knowledge exchange with academically productive talk agents D Adamson, C Ashe, H Jang, D Yaron, CP Rosé International Society of the Learning Sciences, 2013 | 38 | 2013 |
| Metaphor detection with topic transition, emotion and cognition in context H Jang, Y Jo, Q Shen, M Miller, S Moon, C Rose Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 34 | 2016 |
| Tracking public attitudes toward COVID-19 vaccination on tweets in Canada: Using aspect-based sentiment analysis H Jang, E Rempel, I Roe, P Adu, G Carenini, NZ Janjua Journal of Medical Internet Research 24 (3), e35016, 2022 | 29 | 2022 |
| Classification of Alzheimer’s disease leveraging multi-task machine learning analysis of speech and eye-movement data H Jang, T Soroski, M Rizzo, O Barral, A Harisinghani, S Newton-Mason, ... Frontiers in Human Neuroscience 15, 716670, 2021 | 26 | 2021 |
| T3-Vis: a visual analytic framework for training and fine-tuning transformers in NLP R Li, W Xiao, L Wang, H Jang, G Carenini arXiv preprint arXiv:2108.13587, 2021 | 24 | 2021 |
| Non-invasive classification of Alzheimer’s disease using eye tracking and language O Barral, H Jang, S Newton-Mason, S Shajan, T Soroski, G Carenini, ... Machine Learning for Healthcare Conference, 813-841, 2020 | 24 | 2020 |
| Developing, evaluating, and refining an automatic generator of diagnostic multiple choice cloze questions to assess children's comprehension while reading J Mostow, YT Huang, H Jang, A Weinstein, J Valeri, D Gates Natural Language Engineering 23 (2), 245-294, 2017 | 24 | 2017 |
| Exploratory analysis of COVID-19 related tweets in North America to inform public health institutes H Jang, E Rempel, G Carenini, N Janjua arXiv preprint arXiv:2007.02452, 2020 | 23 | 2020 |
| Modeling dialogue acts with content word filtering and speaker preferences Y Jo, MM Yoder, H Jang, CP Rosé Proceedings of the Conference on Empirical Methods in Natural Language …, 2017 | 21 | 2017 |
| Extracting events with informal temporal references in personal histories in online communities M Wen, Z Zheng, H Jang, G Xiang, C Rose Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 19 | 2013 |
| Text mining for medical documents using a Hidden Markov Model H Jang, SK Song, SH Myaeng Asia Information Retrieval Symposium, 553-559, 2006 | 18 | 2006 |
| Finding structure in figurative language: Metaphor detection with topic-based frames H Jang, K Maki, E Hovy, C Rose Proceedings of the 18th Annual SIGDIAL meeting on Discourse and Dialogue …, 2017 | 17 | 2017 |
| Classification of alzheimer's using deep-learning methods on webcam-based gaze data A Harisinghani, H Sriram, C Conati, G Carenini, T Field, H Jang, G Murray Proceedings of the ACM on Human-Computer Interaction 7 (ETRA), 1-17, 2023 | 13 | 2023 |
| Evaluating web-based automatic transcription for Alzheimer speech data: transcript comparison and machine learning analysis T Soroski, T da Cunha Vasco, S Newton-Mason, S Granby, C Lewis, ... JMIR aging 5 (3), e33460, 2022 | 13 | 2022 |
| Semantic tagging for medical knowledge tracking H Jang, SK Song, SH Myaeng 2006 International Conference of the IEEE Engineering in Medicine and …, 2006 | 13 | 2006 |
Carolyn Penstein RoseKavcic-Moura Professor of Language Technologies and HCI, Carnegie Mellon UniversityVerificeret mail på cs.cmu.edu