Natural Language Generation in Dialogue Systems for Customer Care
Mirko Francesco Di Lascio, Manuela Sanguinetti, Luca Anselma, Dario Mana, Alessandro Mazzei, Viviana Patti, Rossana Simeoni · Accademia University Press eBooks · 2020
In this paper we discuss the role of natural language generation (NLG) in modern dialogue systems (DSs). In particular, we will study the role that a linguistically sound NLG architecture can have in a DS. Using real examples from a new corpus of dialogue in customer-care domain, we will study how the non-linguistic contextual data can be exploited by using NLG.