Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation
<|reference_start|>Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation: Health coaching helps patients achieve personalized and lifestyle-related goals, effectively managing chronic conditions and alleviating mental health issues. It is particularly beneficial, however cost-prohibitive, for low-socioeconomic status populations due to its highly personalized and labor-intensive nature. In this paper, we propose a neuro-symbolic goal summarizer to support health coaches in keeping track of the goals and a text-units-text dialogue generation model that converses with patients and helps them create and accomplish specific goals for physical activities. Our models outperform previous state-of-the-art while eliminating the need for predefined schema and corresponding annotation. We also propose a new health coaching dataset extending previous work and a metric to measure the unconventionality of the patient's response based on data difficulty, facilitating potential coach alerts during deployment.<|reference_end|>
@article{zhou2024modeling,
    title={Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal
  Summarization and Text-Units-Text Generation},
    author={Yue Zhou, Barbara Di Eugenio, Brian Ziebart, Lisa Sharp, Bing Liu and
  Nikolaos Agadakos},
    journal={arXiv preprint arXiv:2404.10268},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.10268},
    primaryClass={cs.CL}
}