From computational narrative analysis to generation
Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón · 2017
In this paper we present a survey of two of the main areas of research within the field of computational narrative, namely narrative analysis and generation. We argue that there is a gap between these two lines of work and propose a taxonomy of the computational models of narrative used within each. We outline potential mappings between computational narrative models with the goal of bridging this gap and alleviating the authorial bottleneck problem occurring when authoring content for computational narrative generation systems. Finally we discuss related work in this direction and report on our work-in-progress towards an end-to-end computational narrative system to bridge the gap.