In this paper we present the main components of a weekly diet report generator (DRG) in natural language. The idea is to produce a text that contains information on the adherence of the dishes eaten during a week to the Mediterranean diet. The system is based on a user model, a database of the dishes eaten during the week and on the automatic computation of the Mediterranean Diet Score. All these sources of information are exploited to produce a highly personalized text.The system has two main goals, related to two different kinds of users: on the one hand, when used by dietitians, the main goal is to highlight the most salient medical information of the patient diet and, on the other hand, when used by final users, the main goal is to educate them toward a Mediterranean style of eating.

Personalizing Weekly Diet Reports

Elena Monfroglio;Luca Anselma;Alessandro Mazzei
2022-01-01

Abstract

In this paper we present the main components of a weekly diet report generator (DRG) in natural language. The idea is to produce a text that contains information on the adherence of the dishes eaten during a week to the Mediterranean diet. The system is based on a user model, a database of the dishes eaten during the week and on the automatic computation of the Mediterranean Diet Score. All these sources of information are exploited to produce a highly personalized text.The system has two main goals, related to two different kinds of users: on the one hand, when used by dietitians, the main goal is to highlight the most salient medical information of the patient diet and, on the other hand, when used by final users, the main goal is to educate them toward a Mediterranean style of eating.
2022
First Workshop on Natural Language Generation in Healthcare
Waterville, Maine, USA
July 2022
Proceedings of the First Workshop on Natural Language Generation in Healthcare
Association for Computational Linguistics
40
45
https://aclanthology.org/2022.nlg4health-1.5
Elena Monfroglio; Luca Anselma; Alessandro Mazzei
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1906511
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