@inproceedings{mehta-etal-2022-psychotherapy,
title = "Psychotherapy is Not One Thing: Simultaneous Modeling of Different Therapeutic Approaches",
author = "Mehta, Maitrey and
Caperton, Derek and
Axford, Katherine and
Weitzman, Lauren and
Atkins, David and
Srikumar, Vivek and
Imel, Zac",
editor = "Zirikly, Ayah and
Atzil-Slonim, Dana and
Liakata, Maria and
Bedrick, Steven and
Desmet, Bart and
Ireland, Molly and
Lee, Andrew and
MacAvaney, Sean and
Purver, Matthew and
Resnik, Rebecca and
Yates, Andrew",
booktitle = "Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology",
month = jul,
year = "2022",
address = "Seattle, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.clpsych-1.5",
doi = "10.18653/v1/2022.clpsych-1.5",
pages = "47--58",
abstract = "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.",
}
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%0 Conference Proceedings
%T Psychotherapy is Not One Thing: Simultaneous Modeling of Different Therapeutic Approaches
%A Mehta, Maitrey
%A Caperton, Derek
%A Axford, Katherine
%A Weitzman, Lauren
%A Atkins, David
%A Srikumar, Vivek
%A Imel, Zac
%Y Zirikly, Ayah
%Y Atzil-Slonim, Dana
%Y Liakata, Maria
%Y Bedrick, Steven
%Y Desmet, Bart
%Y Ireland, Molly
%Y Lee, Andrew
%Y MacAvaney, Sean
%Y Purver, Matthew
%Y Resnik, Rebecca
%Y Yates, Andrew
%S Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, USA
%F mehta-etal-2022-psychotherapy
%X 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.
%R 10.18653/v1/2022.clpsych-1.5
%U https://aclanthology.org/2022.clpsych-1.5
%U https://doi.org/10.18653/v1/2022.clpsych-1.5
%P 47-58
Markdown (Informal)
[Psychotherapy is Not One Thing: Simultaneous Modeling of Different Therapeutic Approaches](https://aclanthology.org/2022.clpsych-1.5) (Mehta et al., CLPsych 2022)
ACL