A Neuro-Symbolic Approach to Monitoring Salt Content in Food
<|reference_start|>A Neuro-Symbolic Approach to Monitoring Salt Content in Food: 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 Neuro-Symbolic Rules significantly enhances the system's performance. Our experiments show that by integrating neuro-symbolic rules, our system achieves an improvement in joint goal accuracy of over 20% across different data sizes compared to naively fine-tuning transformer-based models.<|reference_end|>
@article{tayal2024a,
    title={A Neuro-Symbolic Approach to Monitoring Salt Content in Food},
    author={Anuja Tayal, Barbara Di Eugenio, Devika Salunke, Andrew D. Boyd,
  Carolyn A Dickens, Eulalia P Abril, Olga Garcia-Bedoya, Paula G Allen-Meares},
    journal={arXiv preprint arXiv:2404.01182},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.01182},
    primaryClass={cs.CL cs.SC}
}