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Proceedings chapter
Open access
English

Automatic Detection of Conflicts in Complex Narrative Structures

Presented at Dublin (Ireland), 5-8 December 2018
PublisherCham : Springer International Publishing
Publication date2018
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 Narrative
  • Computational Models of Narrative
  • Conflict
  • Rules
Funding
  • 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
Main files (1)
Proceedings chapter (Accepted version)
accessLevelPublic
Identifiers
ISBN978-3-030-04027-7
304views
196downloads

Technical informations

Creation10/31/2019 5:24:00 PM
First validation10/31/2019 5:24:00 PM
Update time03/15/2023 6:22:45 PM
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