Dialogue systems are becoming central tools in human computer interface systems. New interaction systems, e.g. Siri, Echo and others, are proposed by the day, and new features are added to these systems at breathtaking pace. The conventional approaches based on traditional artificial intelligence techniques, such as ontologies and tree based search, have been superseded by machine learning approaches and, more recently, deep learning. In this paper we give a view of the current state of dialogue systems, describing the areas of application, as well as the current technical approaches and challenges. We propose two emerging domains of application of dialogue systems that may be highly influential in the near future: storytelling and therapeutic systems.
CITATION STYLE
Ozaeta, L., & Graña, M. (2018). A view of the state of the art of dialogue systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10870 LNAI, pp. 706–715). Springer Verlag. https://doi.org/10.1007/978-3-319-92639-1_59
Mendeley helps you to discover research relevant for your work.