Towards Narrative Ideation via Cross-Context Link Discovery Using Banded Matrices

نویسندگان

  • Matic Perovsek
  • Bojan Cestnik
  • Tanja Urbancic
  • Simon Colton
  • Nada Lavrac
چکیده

Knowledge discovery and computational creativity have until lately been investigated by two separate research communities. However, research in bisociative, cross-context knowledge discovery has recently started addressing creative tasks, including creative literature mining. This paper contributes to this effort by investigating an approach to cross-context link discovery based on banded matrices, aimed at identifying meaningful bridging terms (b-terms) at the intersection of two different domains. The proposed approach was applied to a simplified computational creativity task of narrative ideation from pairs of short sentences. As input, we took sentences from two different contexts: what-if sentences retrieved from Twitter, and morals from Aesop’s fables, respectively. The approach resulted in a list of linked pairs of sentences from these two domains, illustrating the potential of the proposed approach to cross-context narra-

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تاریخ انتشار 2013