Topic Bridging by Identifying the Dynamics of the Spreading Topic Model
We propose topic bridging as a method for story generation support. In our research, a document is defined as a story fragment and a story is defined as a sequence of story fragments. Topic bridging suggests story fragments that can function as a bridge between the start topic and the goal topic to generate a story. To do this, we propose a topic dynamics model corresponding to the story that is based on a spreading activation model, which we call the spreading topic model. On the basis of this model, we defined the term context-dependent attractiveness to indicate the dynamic popularity of a term spreading through the term relations in a new concatenated story fragment. The term context-dependent attractiveness features the topic of the story fragment. We propose the topic bridging method to estimate the feature of the story fragment that bridges the topics of the start story fragment and the goal story fragment by solving the inverse problem of the term context-dependent attractiveness.
KeywordsShort Path Algorithm Topic Detection Term Attractiveness Story Generation Goal Document
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- 4.Bringsjord, S., Ferrucci, D.: Artificial Intelligence and Literary Creativity: Inside the Mind of Brutus, a Storytelling Machine. L. Erlbaum Associates Inc., Hillsdale (1999)Google Scholar
- 5.Brown, J.: Storytelling in organizations: Why storytelling is transforming 21st century organizations and management. Butterworth-Heinemann (2005)Google Scholar
- 8.Gordon, A., Van Lent, M., Van Velsen, M., Carpenter, P., Jhala, A.: Branching storylines in virtual reality environments for leadership development. In: Proceedings of the National Conference on Artificial Intelligence, pp. 844–851. AAAI Press (2004), TECHNOLOGIES, U.O.S.C.M.D.R.C.I.F.C.Google Scholar
- 11.Meehan, J.: Tale-spin, an interactive program that writes stories. In: Proceedings of the Fifth International Joint Conference on Artificial Intelligence, Citeseer, pp. 91–98 (1977)Google Scholar
- 12.Montfort, N.: Generating narrative variation in interactive fiction (2007)Google Scholar
- 15.Salton, G., McGill, M.: Introduction to modern information retrieval (1986)Google Scholar
- 16.Sato, M., Akaishi, M., Hori, K.: Analyzing topic transitions using term context-dependent attractiveness. In: Information Modelling and Knowledge Bases XXI, pp. 324–331. IOS Press, Amsterdam (2010)Google Scholar
- 17.Sato, M., Akaishi, M., Hori, K.: Bridging topics for story generation. In: Proceeding of the 2011 Conference on Information Modelling and Knowledge Bases XXII, pp. 247–257. IOS Press, Amsterdam (2011)Google Scholar
- 18.Shahaf, D., Guestrin, C.: Connecting the dots between news articles. In: Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 623–632. ACM (2010)Google Scholar
- 19.Turner, S.: The creative process: A computer model of storytelling and creativity. Lawrence Erlbaum (1994)Google Scholar