NAACL 2025short0 citations

Examining Spanish Counseling with MIDAS: a Motivational Interviewing Dataset in Spanish

Aylin Ece Gunal, Bowen Yi, John D. Piette, Rada Mihalcea, Veronica Perez-Rosas

Abstract

Cultural and language factors significantly influence counseling, but Natural Language Processing research has not yet examined whether the findings of conversational analysis for counseling conducted in English apply to other languages. This paper presents a first step towards this direction. We introduce MIDAS (Motivational Interviewing Dataset in Spanish), a counseling dataset created from public video sources that contains expert annotations for counseling reflections and questions. Using this dataset, we explore language-based differences in counselor behavior in English and Spanish and develop classifiers in monolingual and multilingual settings, demonstrating its applications in counselor behavioral coding tasks.

BibTeX
@inproceedings{gunal-etal-2025-examining,
    title = "Examining {S}panish Counseling with {MIDAS}: a Motivational Interviewing Dataset in {S}panish",
    author = "Gunal, Aylin Ece  and
      Yi, Bowen  and
      Piette, John D.  and
      Mihalcea, Rada  and
      Perez-Rosas, Veronica",
    editor = "Chiruzzo, Luis  and
      Ritter, Alan  and
      Wang, Lu",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.naacl-short.73/",
    pages = "866--872",
    ISBN = "979-8-89176-190-2"
}
Examining Spanish Counseling with MIDAS: a Motivational Interviewing Dataset in Spanish · NAACL 2025