| Beyond LDA: exploring supervised topic modeling for depression-related language in Twitter P Resnik, W Armstrong, L Claudino, T Nguyen, VA Nguyen, ... Proceedings of the 2nd workshop on computational linguistics and clinical …, 2015 | 263 | 2015 |
| The University of Maryland CLPsych 2015 shared task system P Resnik, W Armstrong, L Claudino, T Nguyen Proceedings of the 2nd workshop on computational linguistics and clinical …, 2015 | 76 | 2015 |
| Enhancing self-consistency and performance of pre-trained language models through natural language inference E Mitchell, JJ Noh, S Li, WS Armstrong, A Agarwal, P Liu, C Finn, ... arXiv preprint arXiv:2211.11875, 2022 | 36 | 2022 |
| Using topic models to investigate depression on social media W Armstrong University of Maryland, 2015 | 5 | 2015 |
| Synthetic data for semantic image segmentation of imagery of unmanned spacecraft W Armstrong, S Drakontaidis, N Lui 2023 IEEE Aerospace Conference, 1-7, 2023 | 2 | 2023 |
| Semantic Image Segmentation of Imagery of Unmanned Spacecraft Using Synthetic Data W Armstrong, S Draktontaidis, N Lui Technical Report, 2021 | 2 | 2021 |
| Using Deep Linguistic features to predict Depression T Nguyen, W Armstrong, A Shrivastava | | |
| Appendix for “Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter” P Resnik, W Armstrong, L Claudino, T Nguyen, VA Nguyen, ... | | |
Eric Anthony MitchellPhD Candidate, Stanford UniversityVerified email at stanford.edu
