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A Task Based model for Récit Generation from Sensor Data: An Early Experiment

Authors: Belén A. Baez Miranda, Sybille Caffiau, Catherine Garbay, and Francois Portet

Published in: OASIcs, Volume 41, 2014 Workshop on Computational Models of Narrative


Abstract
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.

Cite as

Belén A. Baez Miranda, Sybille Caffiau, Catherine Garbay, and Francois Portet. A Task Based model for Récit Generation from Sensor Data: An Early Experiment. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 13-23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)


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@InProceedings{baezmiranda_et_al:OASIcs.CMN.2014.13,
  author =	{Baez Miranda, Bel\'{e}n A. and Caffiau, Sybille and Garbay, Catherine and Portet, Francois},
  title =	{{A Task Based model for R\'{e}cit Generation from Sensor Data: An Early Experiment}},
  booktitle =	{2014 Workshop on Computational Models of Narrative},
  pages =	{13--23},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-71-2},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{41},
  editor =	{Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.13},
  URN =		{urn:nbn:de:0030-drops-46424},
  doi =		{10.4230/OASIcs.CMN.2014.13},
  annote =	{Keywords: narrative generation, task model, real world story analysis, ambient intelligence}
}
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