Front matter
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pages |
Predicting military and veteran suicide risk: Cultural aspects Paul Thompson, Craig Bryan and Chris Poulin
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pp. 1–6 |
Linguistic Indicators of Severity and Progress in Online Text-based Therapy for Depression Christine Howes, Matthew Purver and Rose McCabe
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pp. 7–16 |
Comparison of different feature sets for identification of variants in progressive aphasia Kathleen C. Fraser, Graeme Hirst, Naida L. Graham, Jed A. Meltzer, Sandra E. Black and Elizabeth Rochon
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pp. 17–26 |
Aided diagnosis of dementia type through computer-based analysis of spontaneous speech William Jarrold, Bart Peintner, David Wilkins, Dimitra Vergryi, Colleen Richey, Maria Luisa Gorno-Tempini and Jennifer Ogar
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pp. 27–37 |
Assessing Violence Risk in Threatening Communications Kimberly Glasgow and Ronald Schouten
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pp. 38–45 |
Detecting linguistic idiosyncratic interests in autism using distributional semantic models Masoud Rouhizadeh, Emily Prud’hommeaux, Jan van Santen and Richard Sproat
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pp. 46–50 |
Quantifying Mental Health Signals in Twitter Glen Coppersmith, Mark Dredze and Craig Harman
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pp. 51–60 |
Applying prosodic speech features in mental health care: An exploratory study in a life-review intervention for depression Sanne M.A. Lamers, Khiet P. Truong, Bas Steunenberg, Franciska de Jong and Gerben J. Westerhof
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pp. 61–68 |
Challenges in Automating Maze Detection Eric Morley, Anna Eva Hallin and Brian Roark
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pp. 69–77 |
Learning Predictive Linguistic Features for Alzheimer’s Disease and related Dementias using Verbal Utterances Sylvester Olubolu Orimaye, Jojo Sze-Meng Wong and Karen Jennifer Golden
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pp. 78–87 |
Linguistic and Acoustic Features for Automatic Identification of Autism Spectrum Disorders in Children’s Narrative Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda and Satoshi Nakamura
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pp. 88–96 |
Mining Themes and Interests in the Asperger’s and Autism Community Yangfeng Ji, Hwajung Hong, Rosa Arriaga, Agata Rozga, Gregory Abowd and Jacob Eisenstein
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pp. 97–106 |
Toward Macro-Insights for Suicide Prevention: Analyzing Fine-Grained Distress at Scale Christopher Homan, Ravdeep Johar, Tong Liu, Megan Lytle, Vincent Silenzio and Cecilia Ovesdotter Alm
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pp. 107–117 |
Towards Assessing Changes in Degree of Depression through Facebook H. Andrew Schwartz, Johannes Eichstaedt, Margaret L. Kern, Gregory Park, Maarten Sap, David Stillwell, Michal Kosinski and Lyle Ungar
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pp. 118–125 |
Last modified on May 20, 2014, 6:09 a.m.