Automated quality assessment of cognitive behavioral therapy sessions through highly contextualized language representations.

ABSTRACT: During a psychotherapy session, the counselor typically adopts techniques which are codified along specific dimensions (e.g., 'displays warmth and confidence', or 'attempts to set up collaboration') to facilitate the evaluation of the session. Those constructs, traditionally scored by trained human raters, reflect the complex nature of psychotherapy and highly depend on the context of the interaction. Recent advances in deep contextualized language models offer an avenue for accurate in-domain linguistic representations which can lead to robust recognition and scoring of such psychotherapy-relevant behavioral constructs, and support quality assurance and supervision. In this work, we propose a BERT-based model for automatic behavioral scoring of a specific type of psychotherapy, called Cog

SUBMITTER: Flemotomos N 

PROVIDER: S-EPMC8535177 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature