| 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 | 161 | 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 | 98 | 2021 |
| Generating diagnostic multiple choice comprehension cloze questions J Mostow, H Jang Proceedings of the Seventh Workshop on Building Educational Applications …, 2012 | 54 | 2012 |
| Intensification of group knowledge exchange with academically productive talk agents D Adamson, C Ashe, H Jang, D Yaron, CP Rosé Proceedings of the 10th International Conference on Computer Supported …, 2014 | 33 | 2014 |
| 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 | 32 | 2015 |
| 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 | 26 | 2016 |
| A neural model for predicting dementia from language W Kong, H Jang, G Carenini, T Field Machine Learning for Healthcare Conference, 270-286, 2019 | 22 | 2019 |
| 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 |
| 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 | 18 | 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 | 18 | 2017 |
| 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 | 17 | 2017 |
| Text mining for medical documents using a Hidden Markov Model H Jang, SK Song, SH Myaeng Information Retrieval Technology: Third Asia Information Retrieval Symposium …, 2006 | 16 | 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 | 14 | 2017 |
| Conversational metaphors in use: Exploring the contrast between technical and everyday notions of metaphor H Jang, M Piergallin, M Wen, C Rose Second Workshop on Metaphor in NLP, 2014 | 12 | 2014 |
| Semantic tagging for medical knowledge tracking H Jang, SK Song, SH Myaeng 2006 International Conference of the IEEE Engineering in Medicine and …, 2006 | 11 | 2006 |
| 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 | 10 | 2022 |
| T3-vis: visual analytic for training and fine-tuning transformers in NLP R Li, W Xiao, L Wang, H Jang, G Carenini Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 9 | 2021 |
| Personal information access using proactive search and mobile hypertext H Jang, S Kim, W Shin, SH Myaeng IEEE intelligent systems 25 (1), 27-36, 2010 | 9 | 2010 |
| Predictive modelling of stigmatized behaviour in vaccination discussions on Facebook N Straton, R Ng, H Jang, R Vatrapu, RR Mukkamala 2019 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2019 | 8 | 2019 |
| 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 | 7 | 2020 |
Carolyn Penstein RoseLanguage Technologies Institute and Human-Computer Interaction Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
