@inproceedings{ascorbe-etal-2025-chatbot,
    title = "A Chatbot for Providing Suicide Prevention Information in {S}panish",
    author = "Ascorbe, Pablo  and
      Campos, Mar{\'i}a S.  and
      Dom{\'i}nguez, C{\'e}sar  and
      Heras, J{\'o}nathan  and
      P{\'e}rez, Magdalena  and
      Terroba-Reinares, Ana Rosa",
    editor = "Torres, Maria Ines  and
      Matsuda, Yuki  and
      Callejas, Zoraida  and
      del Pozo, Arantza  and
      D'Haro, Luis Fernando",
    booktitle = "Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology",
    month = may,
    year = "2025",
    address = "Bilbao, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.iwsds-1.21/",
    pages = "200--204",
    ISBN = "979-8-89176-248-0",
    abstract = "Suicide has been identified by the World Health Organization as one of the most serious health problems that can affect people. Among the interventions that have been proposed to help people suffering from this problem and their relatives, the dissemination of accurate information is crucial. To achieve this goal, we have developed PrevenIA, a chatbot that provides reliable information on suicide prevention. The chatbot consists of a Retrieval Augmented Module for answering users' queries based on a curated list of documents. In addition, it includes several models to avoid undesirable behaviours. The system has been validated by specialists and is currently being evaluated by different populations. Thanks to this project, reliable information on suicide will be disseminated in an easy and understandable form."
}