April 2, 2024, 7:52 p.m. | Anuja Tayal, Barbara Di Eugenio, Devika Salunke, Andrew D. Boyd, Carolyn A Dickens, Eulalia P Abril, Olga Garcia-Bedoya, Paula G Allen-Meares

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.01182v1 Announce Type: new
Abstract: We propose a dialogue system that enables heart failure patients to inquire about salt content in foods and help them monitor and reduce salt intake. Addressing the lack of specific datasets for food-based salt content inquiries, we develop a template-based conversational dataset. The dataset is structured to ask clarification questions to identify food items and their salt content. Our findings indicate that while fine-tuning transformer-based models on the dataset yields limited performance, the integration of …

abstract arxiv conversational cs.cl cs.sc dataset datasets dialogue failure food heart failure monitoring neuro patients reduce template them type

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