On the Explicit and Implicit Spatiotemporal Architecture of Narratives of Personal Experience

  • Blake Stephen Howald
  • E. Graham Katz
Conference paper

DOI: 10.1007/978-3-642-23196-4_23

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6899)
Cite this paper as:
Howald B.S., Katz E.G. (2011) On the Explicit and Implicit Spatiotemporal Architecture of Narratives of Personal Experience. In: Egenhofer M., Giudice N., Moratz R., Worboys M. (eds) Spatial Information Theory. COSIT 2011. Lecture Notes in Computer Science, vol 6899. Springer, Berlin, Heidelberg


Expanding on recent research into the predictability of explicit linguistic spatial information relative to features of discourse structure, we present the results of several machine learning studies which leverage rhetorical relations, events, temporal information, text sequence, and both explicit and implicit linguistic spatial information in three different corpora of narrative discourses. On average, classifiers predict figure, ground, spatial verb and preposition and frame of reference to 75% accuracy, rhetorical relations to 72% accuracy, and events to 76% accuracy (all values have statistical significance above majority class baselines). These results hold independent of the number of authors, subject matter, length and density of spatial and temporal information. Consequently, we argue for a generalized model of spatiotemporal information in narrative discourse, which not only provides a deeper understanding of the semantics and pragmatics of discourse structure, but also alternative robust approaches to analysis.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Blake Stephen Howald
    • 1
  • E. Graham Katz
    • 2
  1. 1.Ultralingua, Inc.Minneapolis
  2. 2.Department of LinguisticsGeorgetown UniversityWashington, DC

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