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Good Timing for Computational Models of Narrative Discourse

Authors David R. Winer, Adam A. Amos-Binks, Camille Barot, R. Michael Young

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David R. Winer
Adam A. Amos-Binks
Camille Barot
R. Michael Young

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David R. Winer, Adam A. Amos-Binks, Camille Barot, and R. Michael Young. Good Timing for Computational Models of Narrative Discourse. In 6th Workshop on Computational Models of Narrative (CMN 2015). Open Access Series in Informatics (OASIcs), Volume 45, pp. 152-156, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)
https://doi.org/10.4230/OASIcs.CMN.2015.152

Abstract

The temporal order in which story events are presented in discourse can greatly impact how readers experience narrative; however, it remains unclear how narrative systems can leverage temporal order to affect comprehension and experience. We define structural properties of discourse which provide a basis for computational narratologists to reason about good timing, such as when readers learn about event relationships.
Keywords
  • causal inference
  • narrative
  • discourse structure
  • computational model

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