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
LIG - Laboratoire d'Informatique de Grenoble
2 LIG Laboratoire d'Informatique de Grenoble - IIHM
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
3 AMA - Analyse de données, Modélisation et Apprentissage automatique [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble
Abstract : 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.
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Submitted on : Monday, June 2, 2014 - 2:55:41 PM
Last modification on : Tuesday, February 12, 2019 - 1:31:22 AM
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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, 2014. 〈hal-00998684〉

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