Toward an Automated Measure of Narrative Complexity

Authors

  • Sarah Harmon University of California, Santa Cruz
  • Arnav Jhala University of California, Santa Cruz

DOI:

https://doi.org/10.1609/aiide.v11i4.12842

Keywords:

narrative complexity, story intention graph

Abstract

For young children, adults learning English, or individuals with language disorders, complex narratives are difficult to create and understand.  While narratives can easily be assessed in terms of their lexical and syntactic difficulty, automatically measuring the level of narrative complexity is a challenging problem.  We present and evaluate a preliminary system for assessing narrative complexity, which should help identify suitable texts for readers and assist in narrative skill evaluation.

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Published

2015-11-19

How to Cite

Harmon, S., & Jhala, A. (2015). Toward an Automated Measure of Narrative Complexity. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 11(4), 38-41. https://doi.org/10.1609/aiide.v11i4.12842