Program 2019

Thursday June 6, 2019

9:00–9:15: Opening Remarks

9:15–10:30: Workshop Session I

Presentations with Discussant Commentary by Adam Miner
  • Towards augmenting crisis counselor training by improving message retrieval
    Orianna Demasi, Marti A. Hearst and Benjamin Rech
  • Identifying therapist conversational actions across diverse psychotherapeutic approaches
    Fei-Tzin Lee, Derrick Hull, Jacob Levine, Bonnie Ray and Kathy McKeown

10:30-10:45: Break

10:45–11:45: Keynote Speaker & Discussion:
Becky Inkster

11:45–12:45: Workshop Session II: Shared Task

Presentations with Discussant Commentary by April Foreman
  • CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts
    Ayah Zirikly, Philip Resnik, Ozlem Uzuner and Kristy Hollingshead
  • CLaC at CLPsych 2019: Fusion of Neural Features and Predicted Class Probabilities for Suicide Risk Assessment Based on Online Posts
    Elham Mohammadi, Hessam Amini and Leila Kosseim
  • Suicide Risk Assessment with Multi-level Dual-Context Language and BERT 
    Matthew Matero, Akash Idnani, Youngseo Son, Sal Giorgi, Huy Vu, Mohammad Zamani, Parth Limbachiya, Sharath Chandra Guntuku and H. Andrew Schwartz

12:45-1:45: Lunch and Poster Session

1:45-2:45: Workshop Session III

Presentations with Discussant Commentary by Molly Ireland
  • The importance of sharing patient-generated clinical speech and language data
    Kathleen C. Fraser, Nicklas Linz, Hali Lindsay and Alexandra Konig
  • Linguistic Analysis of Schizophrenia in Reddit Posts
    Jonathan Zomick, Sarah Ita Levitan and Mark Serper

2:45-3:45: Workshop Session IV

Presentations with Discussant Commentary by Rebecca Resnik
  • Depressed Individuals Use Negative Self-Focused Language When Recalling Recent Interactions with Close Romantic Partners but Not Family or Friends
    Taleen Nalabandian and Molly Ireland
  • Using natural conversations to classify autism with limited data: Age matters
    Michael Hauser, Evangelos Sariyanidi, Birkan Tunc, Casey Zampella, Edward Brodkin, Robert Schultz and Julia Parish-Morris

3:45-4:00: Break

4:00-5:00: Panel –
Early signals, accurate prediction, then what?

Panelists: Nick Allen, Glen Coppersmith, Nazli Goharian, & Michelle Kuchuk
Kate Niederhoffer

What are the differential merits of assessing mental health from phone calls, social media and passive monitoring? Do they dictate subsequent actions- and what role/ how much of a role will humans need to be in the loop? With predictive technologies improving, we now need to take into account the precise clinical contexts to calibrate sensitivity and specificity of our models. What does that transfer process really look like to put a computational linguistic model in a clinical setting? This panel will discuss how computational linguistic models translate to real action and impact in mental health and how to best minimize the inevitable cost of errors.

5:00-6:00: Happy Hour and Posters

  • Semantic Characteristics of Schizophrenic Speech
    Kfir Bar, Vered Zilberstein, Ido Ziv, Heli Baram, Nachum Dershowitz, Samuel Itzikowitz and Eiran Vadim Harel
  • Computational Linguistics for Enhancing Scientific Reproducibility and Reducing Healthcare Inequities
    Julia Parish-Morris
  • Temporal Analysis of the Semantic Verbal Fluency Task in Persons with Subjective and Mild Cognitive Impairment
    Nicklas Linz, Kristina Lundholm Fors, Hali Lindsay, Marie Eckerström, Jan Alexandersson and Dimitrios Kokkinakis
  • Mental Health Surveillance over Social Media with Digital Cohorts Silvio Amir, Mark Dredze and John W. Ayers
  • Reviving a psychometric measure: Classification and prediction of the Operant Motive Test
    Dirk Johannßen, Chris Biemann and David Scheffer
  • Coherence models in schizophrenia
    Sandra Just, Erik Haegert, Nora Koˇránová, Anna-Lena Bröcker, Ivan Nenchev, Jakob Funcke, Christiane Montag and Manfred Stede
  • Overcoming the bottleneck in traditional assessments of verbal memory: Modeling human ratings and classifying clinical group membership
    Chelsea Chandler, Peter W. Foltz, Jian Cheng, Jared C. Bernstein, Elizabeth P. Rosenfeld, Alex S. Cohen, Terje B. Holmlund and Brita Elvevag
  • Analyzing the use of existing systems for the CLPsych 2019 Shared Task
    Alejandro González Hevia, Rebeca Cerezo Menéndez and Daniel Gayo-Avello
  • Similar Minds Post Alike: Assessment of Suicide Risk Using a Hybrid Model
    Lushi Chen, Abeer Aldayel, Nikolay Bogoychev and Tao Gong
  • Predicting Suicide Risk from Online Postings in Reddit The UGent-IDLab submission to the CLPysch 2019 Shared Task A
    Semere Kiros Bitew, Giannis Bekoulis, Johannes Deleu, Lucas Sterckx, Klim Zaporojets, Thomas Demeester and Chris Develder
  • CLPsych2019 Shared Task: Predicting Suicide Risk Level from Reddit Posts on Multiple Forums
    Victor Ruiz, Lingyun Shi, Wei Quan, Neal Ryan, Candice Biernesser, David Brent and Rich Tsui
  • Suicide Risk Assessment on Social Media: USI-UPF at the CLPsych 2019 Shared Task
    Esteban Rissola, Diana Ramírez-Cifuentes, Ana Freire and Fabio Crestani
  • Using Contextual Representations for Suicide Risk Assessment from Internet Forums
    Ashwin Karthik Ambalavanan, Pranjali Dileep Jagtap, Soumya Adhya and Murthy Devarakonda
  • An Investigation of Deep Learning Systems for Suicide Risk Assessment
    Michelle Morales, Prajjalita Dey, Thomas Theisen, Daniel Belitz and Natalia Chernova
  • ConvSent at CLPsych 2019 Task A: Using Post-level Sentiment Features for Suicide Risk Prediction on Reddit
    Kristen Allen, Shrey Bagroy, Alex Davis and Tamar Krishnamurti
  • Dictionaries and Decision Trees for the 2019 CLPsych Shared Task
    Micah Iserman, Taleen Nalabandian and Molly Ireland