Mining Knowledge in Storytelling Systems for Narrative Generation
Eugenio Concepción, Gonzalo Méndez, Pablo Gervás · 2016
Storytelling systems are computational systems designed to tell stories.Every story generation system defines its specific knowledge representation for supporting the storytelling process.Thus, there is a shared need amongst all the systems: the knowledge must be expressed unambiguously to avoid inconsistencies.However, when trying to make a comparative assessment between the storytelling systems, there is not a common way for expressing this knowledge.That is when a form of expression that covers the different aspects of the knowledge representations becomes necessary.A suitable solution is the use of a Controlled Natural Language (CNL) which is a good half-way point between natural and formal languages.A CNL can be used as a common medium of expression for this heterogeneous set of systems.This paper proposes the use of Controlled Natural Language for expressing every storytelling system knowledge as a collection of natural language sentences.In this respect, an initial grammar for a CNL is proposed, focusing on certain aspects of this knowledge.