A Task Based model for Récit Generation from Sensor Data: An Early Experiment
Belen Baez miranda, Sybille Caffiau, Catherine Garbay, François Portet · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2014
Automatic story generation is the subject of a growing research effort. However, in this domain, stories are generally produced from fictional data. In this paper, we present a task model used for automatic story generation from real data focusing on the narrative planning. The aim is to generate récits (stories) from sensors data acquired during a ski sortie. The model and some preliminary analysis are presented which suggest the interest of the approach.