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Title

Automatic Detection of Conflicts in Complex Narrative Structures

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Published in 11th International Conference on Interactive Digital Storytelling, ICIDS 2018. Dublin (Ireland) - 5-8 December 2018 - Cham: Springer International Publishing. 2018
Abstract The central notion of conflict in drama is well-acknowledged but not properly formalized. Computational models of conflict tend to target one specific type of conflict and consequently lose the global point of view on the story. Using a model of dramatic structure, this article specifies a number of conflict types within a unified model and proposes an algorithm to automatically extract all conflicts within a narrative structure. The algorithm is then tested on a storyworld that shows as many as 31 coexisting conflicts. Finally, a cluster analysis on these conflicts is performed, showing that in the considered case, conflicts can be reduced to three main “conflict groups.”
Keywords Interactive NarrativeComputational Models of NarrativeConflictRules
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ISBN: 978-3-030-04027-7
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Structures
Research group Technologies de formation et d'apprentissage (TECFA)
Project
Swiss National Science Foundation: 159605
Citation
(ISO format)
SZILAS, Nicolas, ESTUPINAN VESGA, Sergio, RICHLE, Urs Michael. Automatic Detection of Conflicts in Complex Narrative Structures. In: 11th International Conference on Interactive Digital Storytelling, ICIDS 2018. Dublin (Ireland). Cham : Springer International Publishing, 2018. doi: 10.1007/978-3-030-04028-4_49 https://archive-ouverte.unige.ch/unige:126328

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Deposited on : 2019-11-15

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