License: 
Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.CMN.2014.13
URN: urn:nbn:de:0030-drops-46424
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2014/4642/
Baez Miranda, Belén A. ;
Caffiau, Sybille ;
Garbay, Catherine ;
Portet, Francois
A Task Based model for Récit Generation from Sensor Data: An Early Experiment
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.
BibTeX - Entry
@InProceedings{baezmiranda_et_al:OASIcs:2014:4642,
author = {Bel{\'e}n A. Baez Miranda and Sybille Caffiau and Catherine Garbay and Francois Portet},
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 = {OpenAccess Series in Informatics (OASIcs)},
ISBN = {978-3-939897-71-2},
ISSN = {2190-6807},
year = {2014},
volume = {41},
editor = {Mark A. Finlayson and Jan Christoph Meister and Emile G. Bruneau},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2014/4642},
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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Keywords: |
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narrative generation, task model, real world story analysis, ambient intelligence |
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Collection: |
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2014 Workshop on Computational Models of Narrative |
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Issue Date: |
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2014 |
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Date of publication: |
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08.08.2014 |
