Narrative: Text Generation Model from Data
Journal: International Journal of Modern Research in Engineering and Technology (Vol.2, No. 8)Publication Date: 2017-12-30
Authors : Darío Arenas; Javier Pére; David Martínez; David Llorente; Eugenio Fernández; Antonio Moratilla;
Page : 20-27
Keywords : Automatic Digital Content Generation; D2T; NLG;
Abstract
The generation of digital content has undergone a great increase in recent years due to the development of new technologies that allow the creation of content quickly and easily. A further step in this evolution is the generation of contents by automatic systems without human intervention. Thus, for decadesit has been developing models for the Natural Language Generation (NLG) that allow the transformation of content to the form of narratives. At present, there are several systems that enable the generation in text format. In this paper we present the Narrative system, which allows the generation of text narratives from different sources, and which are indistinguishable for user from those made by a human being.
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