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A Paradigm for Eliciting Story Variation

  • The understanding of story variation, whether motivated by cultural currents or other factors, is important for applications of formal models of narrative such as story generation or story retrieval. We present the first stage of an experiment to elicit natural narrative variation data suitable for evaluation with respect to story similarity, to qualitative and quantitative analysis of story variation, and also for data processing. We also present few preliminary results from the first stage of the experiment, using Red Riding Hood and Romeo and Juliet as base texts.

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Metadaten
Author:Bernhard FisseniGND, Faith Lawrence
URN:urn:nbn:de:0030-drops-41405
URL:http://drops.dagstuhl.de/opus/volltexte/2013/4140/
DOI:https://doi.org/10.4230/OASIcs.CMN.2013.100
ISBN:978-3-939897-57-6
Parent Title (English):2013 Workshop on Computational Models of Narrative. CMN’13, 4–6 August, 2013, Hamburg, Germany
Series (Serial Number):OASIcs – OpenAccess Series in Informatics (Bd. 32)
Publisher:Dagstuhl
Place of publication:Merzig-Wadern
Editor:Mark A. Finlayson, Bernhard Fisseni, Benedikt Löwe, Jan Christoph Meister
Document Type:Conference Proceeding
Language:English
Year of first Publication:2013
Date of Publication (online):2018/10/26
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
Tag:Narrative; Summary; Variation
GND Keyword:Computerlinguistik; Erzähltheorie; Handlung <Literatur>; Quantitative Linguistik; Variation
First Page:100
Last Page:105
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Linguistics-Classification:Computerlinguistik
Linguistics-Classification:Textlinguistik / Schriftsprache
Licence (English):License LogoCreative Commons - Attribution 3.0 Unported