| Toward macro-insights for suicide prevention: analyzing fine-grained distress at scale C Homan, R Johar, T Liu, M Lytle, V Silenzio, CO Alm Proceedings of the Workshop on Computational Linguistics and Clinical …, 2014 | 91 | 2014 |
| Learning to predict population-level label distributions T Liu, A Venkatachalam, P Sanjay Bongale, C Homan Companion Proceedings of The 2019 World Wide Web Conference, 1111-1120, 2019 | 34 | 2019 |
| Understanding Discourse on Work and Job-Related Well-Being in Public Social Media T Liu, CM Homan, CO Alm, AM White, MC Lytle, HA Kautz the 54th Annual Meeting of the Association for Computational Linguistics 1 …, 2016 | 21 | 2016 |
| Neighborhood-based pooling for population-level label distribution learning TC Weerasooriya, T Liu, CM Homan ECAI 2020, 490-497, 2020 | 15 | 2020 |
| Learning from various labeling strategies for suicide-related messages on social media: An experimental study T Liu, Q Cheng, CM Homan, V Silenzio arXiv preprint arXiv:1701.08796, 2017 | 12 | 2017 |
| Optimizing the design and cost for crowdsourced conversational utterances P Liu, T Liu Proc. KDD-Data Collection, Curation, Labeling, 2019 | 7 | 2019 |
| Human-in-the-loop learning from crowdsourcing and social media T Liu Rochester Institute of Technology, 2020 | 4 | 2020 |
| Twitter Job/Employment Corpus: A Dataset of Job-Related Discourse Built with Humans in the Loop T Liu, CM Homan arXiv preprint arXiv:1901.10619, 2019 | | 2019 |
| Job-related discourse on social media T Liu, CM Homan, CO Alm, AM White, MC Lytle-Flint, HA Kautz arXiv preprint arXiv:1511.04805, 2015 | | 2015 |
Christopher HomanRochester Institute of TechnologyPotvrđena adresa e-pošte na cs.rit.edu