@inproceedings{c8f886e13d384da99523caef3aad5691,
title = "Automatic Identification of Ruptures in Transcribed Psychotherapy Sessions",
abstract = "We present the first work on automatically capturing alliance rupture in transcribed therapy sessions, trained on the text and self-reported rupture scores from both therapists and clients. Our NLP baseline outperforms a strong majority baseline by a large margin and captures client reported ruptures unidentified by therapists in 40% of such cases.",
author = "Adam Tsakalidis and Dana Atzil-Slonim and Asaf Polakovski and Natalie Shapira and Rivka Tuval-Mashiach and Maria Liakata",
note = "Publisher Copyright: {\textcopyright}2021 Association for Computational Linguistics.; 7th Workshop on Computational Linguistics and Clinical Psychology: Improving Access, CLPsych 2021 ; Conference date: 11-06-2021",
year = "2021",
language = "الإنجليزيّة",
series = "Computational Linguistics and Clinical Psychology: Improving Access, CLPsych 2021 - Proceedings of the 7th Workshop, in conjunction with NAACL 2021",
publisher = "Association for Computational Linguistics (ACL)",
pages = "122--128",
editor = "Nazli Goharian and Philip Resnik and Andrew Yates and Molly Ireland and Kate Niederhoffer and Rebecca Resnik",
booktitle = "Computational Linguistics and Clinical Psychology",
address = "الولايات المتّحدة",
}