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2018 | OriginalPaper | Buchkapitel

Automatic Detection of Conflicts in Complex Narrative Structures

verfasst von : Nicolas Szilas, Sergio Estupiñán, Urs Richle

Erschienen in: Interactive Storytelling

Verlag: Springer International Publishing

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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.”

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Fußnoten
1
Our translation.
 
2
Each relation needs to connect to nodes of the type specified for this type of relation.
 
3
The symmetric difference between two sets is the union of the two sets, without the intersection.
 
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Metadaten
Titel
Automatic Detection of Conflicts in Complex Narrative Structures
verfasst von
Nicolas Szilas
Sergio Estupiñán
Urs Richle
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-030-04028-4_49