Maitrey Mehta, Derek Caperton, Katherine Axford, Lauren Weitzman, David Atkins, Vivek Srikumar and Zac Imel
Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology, 2022.


There are many different forms of psychotherapy. Itemized inventories of psychotherapeutic interventions provide a mechanism for evaluating the quality of care received by clients and for conducting research on how psychotherapy helps. However, evaluations such as these are slow, expensive, and are rarely used outside of well-funded research studies. Natural language processing research has progressed to allow automating such tasks. Yet, NLP work in this area has been restricted to evaluating a single approach to treatment, when prior research indicates therapists used a wide variety of interventions with their clients, often in the same session. In this paper, we frame this scenario as a multi-label classification task, and develop a group of models aimed at predicting a wide variety of therapist talk-turn level orientations. Our models achieve F1 macro scores of 0.5, with the class F1 ranging from 0.36 to 0.67. We present analyses which offer insights into the capability of such models to capture psychotherapy approaches, and which may complement human judgment.


Bib Entry

  author = {Mehta, Maitrey and Caperton, Derek and Axford, Katherine and Weitzman, Lauren and Atkins, David and Srikumar, Vivek and Imel, Zac},
  title = {{Psychotherapy is Not One Thing: Simultaneous Modeling of Different Therapeutic Approaches}},
  booktitle = {Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology},
  year = {2022}