This paper presents a project about the automatic generation of persuasive messages in the context of the diet management. In the first part of the paper we introduce the basic mechanisms related to data interpretation and content selection for a numerical data-to-text generation architecture. In the second part of the paper we discuss a number of factors influencing the design of the messages. In particular, we consider the design of the aggregation procedure. Finally, we present the results of a human-based evaluation concerning this design factor.

Designing and testing the messages produced by a virtual dietitian

Anselma Luca;Mazzei Alessandro
2018

Abstract

This paper presents a project about the automatic generation of persuasive messages in the context of the diet management. In the first part of the paper we introduce the basic mechanisms related to data interpretation and content selection for a numerical data-to-text generation architecture. In the second part of the paper we discuss a number of factors influencing the design of the messages. In particular, we consider the design of the aggregation procedure. Finally, we present the results of a human-based evaluation concerning this design factor.
11th International Conference on Natural Language Generation (INLG 2018)
Tilburg, The Netherlands
5-8 November 2018
Proceedings of the 11th International Conference on Natural Language Generation (INLG 2018)
Association for Computational Linguistics
244
253
http://aclweb.org/anthology/W18-6531
Anselma Luca; Mazzei Alessandro
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1680670
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