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Narrative Modeling

From Center for Data Sciences

Abstract

In recent times, computational modeling of narratives has gained enormous interest in fields like Natural Language Understanding (NLU), Natural Language Generation (NLG), and Artificial General Intelligence(AGI). There is a growing body of literature addressing understanding of narrative structure and generation of narratives. Narratives are characteristic of human semantic communication. A narrative represents a coherent perspective about a semantic universe, like a story or a current event. The human mind is known to be much more amenable for processing narratives, rather than disjoint facts and figures. Across cultures of the world, and throughout history, it is common to see narratives as the basic tool for social communication, driving the formation of collective worldviews and social cognition. The goal of our project is to research and explore narrative models useful in storage, retrieval and comparing of narratives in literature, education, healthcare and journalism domains.


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Publications

  • Sharath Srivatsa, Srinath Srinivasa. Narrative Plot Comparison Based on a Bag-of-actors Document Model in Proceedings of the 29th ACM Conference on Hypertext and Social Media (ACM HT’18), Baltimore, USA, ACM Press, July 2018.
  • Sharath Srivatsa, Shyam Kumar V N, Srinath Srinivasa. The Story Of Computational Narratology. In Quaterly Publication of “Advanced Computing and Communications Society” (ACCS), December, 2018.