@inproceedings{tsakalidis-etal-2021-automatic,
    title = "Automatic Identification of Ruptures in Transcribed Psychotherapy Sessions",
    author = "Tsakalidis, Adam  and
      Atzil-Slonim, Dana  and
      Polakovski, Asaf  and
      Shapira, Natalie  and
      Tuval-Mashiach, Rivka  and
      Liakata, Maria",
    editor = "Goharian, Nazli  and
      Resnik, Philip  and
      Yates, Andrew  and
      Ireland, Molly  and
      Niederhoffer, Kate  and
      Resnik, Rebecca",
    booktitle = "Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest_wac_2008/2021.clpsych-1.15/",
    doi = "10.18653/v1/2021.clpsych-1.15",
    pages = "122--128",
    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."
}