@article{2315,
  author = {Taisuke Akimoto},
  title = {Computational Modeling of Narrative Structure: A Hierarchical Graph Model for Multidimensional Narrative Structure},
  journal = {International Journal of Computational Linguistics Research},
  year = {2017},
  volume = {8},
  number = {3},
  doi = {},
  url = {http://www.dline.info/jcl/fulltext/v8n3/jclv8n3_1.pdf},
  abstract = {This paper proposes a basic and general model of narrative structure representation for computer processing
in order to provide a common basis for both generative and analytic processing of narratives. In particular, we address the
following two aspects. First, we formalize a multidimensional framework to integrate the three structural aspects of a
narrative: the story world, which is the background world structure; the story, which represents chronologically organized
events as the content of a narrative; and discourse, which represents the structure used for the expression of a narrative.
Second, we propose a hierarchical graph model as a common mode of representing each structural dimension. This model
organizes various types of structural elements (e.g., entities, events, and discourse units) by hierarchical grouping and
network-like linkage. Then, we discuss the advantages and future challenges of the proposed model from the perspective of
representational capacity by presenting several examples based on the experimental implementation of the model.},
}