Task based model for récit generation from sensor data: an early experiment

Belén A. Baez Miranda (1) , Sybille Caffiau (2) , Catherine Garbay (3) , François Portet (1)

1 GETALP - Groupe d’Étude en Traduction Automatique/Traitement Automatisé des Langues et de la Parole
2 IIHM - Ingénierie de l’Interaction Homme-Machine
3 AMA - Analyse de données, Modélisation et Apprentissage automatique [Grenoble]

Automatic story generation is the object of a growing research effort in Computing Sciences. However, in this domain, stories are generally produced from fictional data. In this paper, we present the general approach for automatic story generation from real data focusing on the narrative planning. The aim is to generate récit from sensor observations of skiers going for a ski sortie. The modelling of the récit as well as some preliminary experiments are introduced and suggest the interest of the approach.

Domaines: Intelligence artificielle [cs.AI]

Belén A. Baez Miranda, Sybille Caffiau, Catherine Garbay, François Portet. Task based model for récit generation from sensor data: an early experiment. 5th International Workshop on Computational Models of Narrative, Jul 2014, France. pp.1--10. ⟨hal-00998684⟩