Towards Automatic Story Clustering for Interactive Narrative Authoring

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10195087" target="_blank" >RIV/00216208:11320/13:10195087 - isvavai.cz</a>
Result on the web
<a href="http://artemis.ms.mff.cuni.cz/main/papers/2013-BideCernyBrom-TowardsNarrativeClustering.pdf" target="_blank" >http://artemis.ms.mff.cuni.cz/main/papers/2013-BideCernyBrom-TowardsNarrativeClustering.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-02756-2_11" target="_blank" >10.1007/978-3-319-02756-2_11</a>

Result language
angličtina
Original language name
Towards Automatic Story Clustering for Interactive Narrative Authoring
Original language description
Interactive storytelling systems are capable of producing many variants of stories. A major challenge in designing storytelling systems is the evaluation of the resulting narrative. Ideally every variant of the resulting story should be seen and evaluated, but due to combinatorial explosion of the story space, this is unfeasible in all but the smallest domains. However, the system designer still needs to have control over the generated stories and his input cannot be replaced by a computer. In this paper we propose a general methodology for semi-automatic evaluation of narrative systems based on tension curve extraction and clustering of similar stories. Our preliminary results indicate that a straightforward approach works well in simple scenarios, but for complex story spaces further improvements are necessary.
Czech name
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Czech description
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Project
<a href="/en/project/GAP103%2F10%2F1287" target="_blank" >GAP103/10/1287: PlanEx: Bridging Planning and Execution</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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