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Towards versatile conversations with data-driven dialog management and its integration in commercial platforms
2021
Journal of Computational Science
Conversational interfaces have recently become a ubiquitous element in both the personal sphere by easing access to services, and industrial environments by the automation of services, improved customer support and its corresponding cost savings. However, designing the dialog model used by these interfaces to decide system responses is still a hard-to-accomplish task for complex conversational interactions. This paper describes a datadriven dialog management technique, which provides
doi:10.1016/j.jocs.2021.101443
fatcat:yvikqr2mjngnvikyeonrgbi3ke