Workshop Description

The Fifth Annual Computational Linguistics and Clinical Psychology Workshop (CLPsych) was held on June 5, 2018 in New Orleans, Louisiana, collocated with the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT).

Proceedings of the 2018 workshop can be found here.

Registration deadlines:
Early registration: through 11:59PM EDT April 29, 2018
Late registration: April 30, 2018 to May 20, 2018 11:59PM EDT
Onsite registration: Begins June 1, 2018

Workshop Agenda

Tuesday June 5

9:00-9:15 Opening Remarks

9:15-10:35 Workshop Session I: Presentations with Discussant Commentary

  • Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia
    • Dan Iter, Jong Yoon and Dan Jurafsky
  • A Linguistically-Informed Fusion Approach for Multimodal Depression Detection
    • Michelle Morales, Stefan Scherer and Rivka Levitan
  • Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings
    • Han-Chin Shing, Suraj Nair, Ayah Zirikly, Meir Friedenberg, Hal Daumé III and Philip Resnik

10:35-10:55 Break

10:55-11:40 Plenary Session with Andrew Gerber, James Pennebaker, and Rob Morris – Clinical Implementation of Language Technology for Mental Health

11:40-12:40 Workshop Session II: Shared Task Presentations with Discussant Commentary

  • CLPsych 2018 Shared Task: Predicting Current and Future Psychological Health from Childhood Essays
    • Veronica Lynn, Alissa Goodman, Kate Niederhoffer, Kate Loveys, Philip Resnik and H. Andrew Schwartz
  • An Approach to the CLPsych 2018 Shared Task Using Top-Down Text Representation and Simple Bottom-Up Model Selection
    • Micah Iserman, Molly Ireland, Andrew Littlefield, Tyler Davis and Sage Maliepaard

12:40pm-14:00 Lunch and Poster Session

14:00-15:00: Workshop Session III: Presentations with Discussant Commentary

  • What type of happiness are you looking for? A closer look at detecting mental health from language
    • Alina Arseniev-Koehler, Sharon Mozgai and Stefan Scherer
  • Oral-Motor and Lexical Diversity During Naturalistic Conversations in Adults with Autism Spectrum Disorder
    • Julia Parish-Morris, Evangelos Sariyanidi, Casey Zampella, G. Keith Bartley, Emily Ferguson, Ashley A. Pallathra, Leila Bateman, Samantha Plate, Meredith Cola, Juhi Pandey, Edward S. Brodkin, Robert T. Schultz and Birkan Tunc

15:00-15:30 Workshop Session IV: Short Presentations

  • Dynamics of an idiostyle of a Russian suicidal blogger
    • Tatiana Litvinova, Olga Litvinova and Pavel Seredin
  • RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses
    • Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly and Nazli Goharian

15:30-16:00 Break / Shared Task Participant Discussion: Journal Submission

16:00-16:45 Workshop Session V: Short Presentations

  • Predicting Human Trustfulness from Facebook Language
    • Mohammadzaman Zamani, Anneke Buffone and H. Andrew Schwartz
  • Within and Between-Person Differences in Language Used Across Anxiety Support and Neutral Reddit Communities
    • Molly Ireland and Micah Iserman
  • Helping or Hurting? Predicting Changes in Users’ Risk of Self-Harm Through Online Community Interactions
    • Luca Soldaini, Timothy Walsh, Arman Cohan, Julien Han and Nazli Goharian

4:45-5:30 Workshop General Discussion and Closing Remarks


Past workshops have been held in conjunction with the 2014 and 2017 ACL Conferences and the 2015 and 2016 Conferences of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL-HLT). Previously published papers of the workshop have proposed methods for aiding the diagnosis of dementia, quantifying repetitive behavior in conversations of autistic children, and detecting a number of mental health disorders in social media, including attention deficit hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), and schizophrenia. The 2015, 2016, and 2017 workshops additionally hosted Shared Tasks. CLPsych 2018 aims to continue the discussion and build the momentum towards releasing tools and data that can be used by mental and neurological healthcare professionals.

Goals and Topics of Interest

The continuing goal of the CLPsych workshop is to bring together computational linguistics researchers with clinicians to talk about the ways that language technology can be used to improve mental and neurological health.

Instead of the traditional presentation-plus-questions format, each paper presented at the workshop will also have a clinically-oriented discussant, who will read the paper thoroughly in advance, present commentary, and help guide the discussion.  This means that papers submitted to this workshop must be written with that cross-disciplinary conversation in mind, not solely for a technical audience.

Our goals are to:

  • increase language technologists’ understanding of what people working in the field of mental and neurological health — clinicians, psychologists, and social workers — do, and what their real needs are;
  • increase clinicians’ understanding of what’s possible in language technology and what it might have to offer;
  • formulate targets and priorities for near-term improvement of the practical state of the art;
  • facilitate the creation and development of high-value NLP tools that can be deployed in the clinical community.

This year we are particularly interested in papers that will contribute to a conversation about whether NLP solutions are ready to deploy in the clinical world, and what that deployment could look like. We are also interested in submissions that bear on issues like the following, relative to psychological conditions and neurological disorders:

  • What features of language or speech could play a prominent role in diagnosis, monitoring, and other elements of clinical practice?
  • What algorithms and forms of modeling are applicable?
  • What kinds of data exists or could be obtained?
  • What tools or resources does this research make available?
  • What practical or ethical issues require attention?

We aim to emerge from the workshop discussions with a further strategy for progress in this field, informed by both the NLP and clinical psychologist participants. This could include, for example, identifying additional topics, tasks, and data; formulating a plan for creating and sharing IRB application templates for NLP work in psychology; or identifying the top-level requirements for an NLP toolkit specifically devoted to practical issues in clinical psychology.

Join (or start!) the discussion at our Google Groups page.


Emily Prud’hommeaux, Boston College
Kate Loveys, Qntfy
Kate Niederhoffer, Circadia Labs
Philip Resnik, University of Maryland
Rebecca Resnik, Rebecca Resnik and Associates, LLC

To contact the organizers, please mail

Program Committee

Glen Coppersmith, Qntfy
Mark Dredze, Johns Hopkins University
Nazli Goharian, Georgetown University
Brian Roark, Google
Kristy Hollingshead, IHMC
Lyle Ungar, University of Pennsylvania
H. Andrew Schwartz, Stony Brook University & University of Pennsylvania
Daniel Preotiuc-Pietro, University of Pennsylvania
Maarten Sap, University of Washington
Rohan Kshirsagar, Columbia University & Koko
Paul Thompson, Dartmouth College
April Foreman, Department of Veteran’s Affairs
Loring Ingraham, George Washington University
Shervin Malmasi, Harvard Medical School
William Jarrold, Nuance Communications
Ayah Zirikly, National Institutes of Health (NIH)
Dirk Hovy, University of Copenhagen
Ted Pedersen, University of Minnesota Duluth
Richard Sproat, Google
Craig Bryan, University of Utah
Masoud Rouhizadeh, Johns Hopkins University
J. Ignacio Serrano, Spanish National Research Council (CSIC)
Eric Morley, Goldman Sachs
Mark Rosenstein, Pearson
Patrick Crutchley, Qntfy
Sean Murphy, New York Psychoanalytic Society & Institute
Michael Woodworth, University of British Columbia
Stacey Dershewitz, George Washington University
Jan van Santen, Oregon Health & Science University
Raymond Tucker, Louisiana State University
Graeme Hirst, University of Toronto
Mike Conway, University of Utah
Nan Bernstein Ratner, University of Maryland
Cecilia Ovesdotter Alm, Rochester Institute of Technology
Joseph Costello, Western Michigan University
Frank Rudzicz, University of Toronto
Hiroki Tanaka, Nara Institute of Science and Technology
Antolin Llorente, Penn State University
Tong Liu, Rochester Institute of Technology
Craig Harman, Johns Hopkins University
Alex Fine, Qntfy
Archna Bhatia, IHMC
Kathleen C. Fraser, University of Toronto
Laura Silverman, University of Rochester
Danielle L. Mowery, University of Utah

Jim Sexton, George Washington University
Christopher Homan, Rochester Institute of Technology
Jill Dolata, Oregon Health & Science University
Matthew Purver, Queen Mary University of London
Dimitrios Kokkinakis, University of Gothenburg

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