Health, Clinical, Assistive - Publications and Projects

Applications

Seeing AI - Research Lead, Microsoft Research, from inception until 2017.

How Was School Today...? - Graduate Student / Research Associate, Universities of Dundee and Aberdeen, 2010-2011.

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Publications

Benton, A. and Mitchell, M. and Hovy, D. (2017) Multi-Task Learning for Mental Health using Social Media Text. Proceedings of EACL 2017. [blurb]

Mitchell, M. and Hollingshead, K. and Coppersmith G. (2015). Quantifying the Language of Schizophrenia in Social Media. Proceedings of the 2nd CLPsych Workshop, NAACL 2015. [bibtex]

Coppersmith, G. and Dredze, M. and Harman, C. and Hollingshead, K. and Mitchell, M. (2015). CLPsych 2015 Shared Task: Depression and PTSD on Twitter. Proceedings of the 2nd CLPsych Workshop, NAACL 2015. [bibtex]

Mitchell, M. and Sproat, R. (2012). Discourse-Based Modeling for AAC. Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies (SLPAT).

Prud'hommeaux, E. T., Mitchell, M., and Roark, B. (2011). Using Patterns of Narrative Recall for Improved Detection of Mild Cognitive Impairment. Proceedings of FICCDAT 2011.

Roark, B., Mitchell, M., Hosom, J., Hollingshead, K., and Kaye, J. (2011). Spoken Language Derived Measures for Detecting Mild Cognitive Impairment. IEEE Transactions on Audio, Speech, and Language Processing.

van Santen, J., Prud'hommeaux, E. T., Black, L., and Mitchell, M. (2010). Computational prosodic markers for autism. Autism. 14:3.

Roark, B., Mitchell, M., and Hollingshead, K. (2007). Syntactic Complexity Measures for Detecting Mild Cognitive Impairment. Proceedings of the ACL 2007 Workshop on Biomedical Natural Language Processing (BioNLP), Prague, June 2007.

Roark, B., Hosom, P., Mitchell, M., and Kaye, J. (2007). Automatically Derived Spoken Language Markers for Detecting Mild Cognitive Impairment. Proceedings of the 2nd International Conference on Technology and Aging (ICTA), Toronto, June 2007.