ACL 2014 Workshop on Computational Linguistics and Clinical Psychology

Friday, June 27, 2014
9:00    Introduction
9:10    Presentations 1
   Predicting military and veteran suicide risk: Cultural aspects
Paul Thompson1, Craig Bryan2, Chris Poulin3
1Dartmouth College, 2University of Utah, 3The Durkheim Project
   Linguistic Indicators of Severity and Progress in Online Text-based Therapy for Depression
Christine Howes1, Matthew Purver1, Rose McCabe2
1Queen Mary University of London, 2University of Exeter Medical School
10:30    Morning break
11:00    Presentations 2
   Comparison of different feature sets for identification of variants in progressive aphasia
Kathleen C. Fraser1, Graeme Hirst1, Naida L. Graham2, Jed A. Meltzer3, Sandra E. Black4, Elizabeth Rochon2
1University of Toronto, 2Toronto Rehabilitation Institute, 3Rotman Research Institute, Baycrest Centre, 4Sunnybrook Health Sciences Centre
   Aided diagnosis of dementia type through computer-based analysis of spontaneous speech
William Jarrold1, Bart Peintner2, David Wilkins3, Dimitra Vergryi4, Colleen Richey4, Maria Luisa Gorno-Tempini, M.D., Ph.D.5, Jennifer Ogar5
1Nuance Communications, 2Soshoma, 3Language and Linguistic Consulting, 4SRI International, 5UCSF Medical Center
12:20    Poster teasers
12:30    Lunch (provided) and poster session
2:00      Presentations 3
   Assessing Violence Risk in Threatening Communications
Kimberly Glasgow1 and Ronald Schouten2
1Johns Hopkins University Applied Physics Laboratory, 2Harvard Medical School, Department of Psychiatry Massachusetts General Hospital, Boston, MA
   Detecting linguistic idiosyncratic interests in autism using distributional semantic models
Masoud Rouhizadeh1, Emily Prud'hommeaux2, Jan van Santen1, Richard Sproat3
1Oregon Health & Science University (OHSU), 2University of Rochester, 3Google
3:30    Afternoon break
4:00    Presentations 4
   Quantifying Mental Health Signals in Twitter
Glen Coppersmith1, Mark Dredze2, Craig Harman1
1Human Language Technology Center of Excellence / Johns Hopkins University, 2Johns Hopkins University
4:45    General discussion
5:30    Workshop ends
 
   Posters
   Applying prosodic speech features in mental health care: An exploratory study in a life-review intervention for depression
Sanne M.A. Lamers1, Khiet P. Truong1, Bas Steunenberg2, Franciska de Jong1, Gerben J. Westerhof1
1University of Twente, 2UMC Utrecht
   Challenges in Automating Maze Detection
Eric Morley1, Anna Eva Hallin2, Brian Roark3
1CSLU - Oregon Health & Science University, 2Department of Communicative Sciences and Disorders - New York University, 3Google Inc.
   Learning Predictive Linguistic Features for Alzheimer’s Disease and related Dementias using Verbal Utterances
Sylvester Olubolu Orimaye, Jojo Sze-Meng Wong, Karen Jennifer Golden
MONASH University
   Linguistic and Acoustic Features for Automatic Identification of Autism Spectrum Disorders in Children's Narrative
Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura
Nara Institute of Science and Technology
   Mining Themes and Interests in the Asperger’s and Autism Community
Yangfeng Ji1, Hwajung Hong1, Rosa Arriaga2, Agata Rozga2, Gregory Abowd2, Jacob Eisenstein2
1School of Interactive Computing, Georgia Institute of Technology, 2Georgia Institute of Technology
   Toward Macro-Insights for Suicide Prevention: Anaylzing Fine-Grained Distress at Scale
Christopher Homan1, Ravdeep Johar2, Tong Liu2, Megan Lytle3, Vincent Silenzio3, Cecilia Ovesdotter Alm2
1, 2Rochester Institute of Technology, 3University of Rochester Medical Center
   Towards Assessing Changes in Degree of Depression through Facebook
H. Andrew Schwartz1, Johannes Eichstaedt1, Margaret L. Kern1, Gregory Park1, Maarten Sap1, David Stillwell2, Michal Kosinski2, Lyle Ungar1
1University of Pennsylvania, 2University of Cambridge