Abstract
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.
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References
Akaishi, M.: A dynamic Decomposition/Recomposition framework for documents based on narrative structure model. Transactions of the Japanese Society for Artificial Intelligence 21(5), 428–438 (2006)
Allan, J.: Topic detection and tracking: event-based information organization, vol. 12. Springer, Heidelberg (2002)
Anderson, J.: A spreading activation theory of memory. Journal of Verbal Learning and Verbal Behavior 22(3), 261–295 (1983)
Bringsjord, S., Ferrucci, D.: Artificial Intelligence and Literary Creativity: Inside the Mind of Brutus, a Storytelling Machine. L. Erlbaum Associates Inc., Hillsdale (1999)
Brown, J.: Storytelling in organizations: Why storytelling is transforming 21st century organizations and management. Butterworth-Heinemann (2005)
Cavazza, M., Charles, F., Mead, S.: Character-based interactive storytelling. IEEE Intelligent Systems 17(4), 17–24 (2002)
Crestani, F.: Application of spreading activation techniques in information retrieval. Artificial Intelligence Review 11(6), 453–482 (1997)
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.
Mani, I., Bloedorn, E.: Summarizing similarities and differences among related documents. Inf. Retr. 1(1-2), 35–67 (1999)
Matsumura, N., Ohsawa, Y., Ishizuka, M.: Automatic indexing based on term activity. Transactions of the Japanese Society for Artificial Intelligence 17(4), 398–406 (2002)
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)
Montfort, N.: Generating narrative variation in interactive fiction (2007)
Pérez y Pérez, R., Sharples, M.: Mexica: A computer model of a cognitive account of creative writing. Journal of Experimental & Theoretical Artificial Intelligence 13(2), 119–139 (2001)
Riedl, M., Young, R.: From linear story generation to branching story graphs. IEEE Computer Graphics and Applications 26(3), 23–31 (2006)
Salton, G., McGill, M.: Introduction to modern information retrieval (1986)
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)
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)
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)
Turner, S.: The creative process: A computer model of storytelling and creativity. Lawrence Erlbaum (1994)
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Sato, M., Akaishi, M., Hori, K. (2012). Topic Bridging by Identifying the Dynamics of the Spreading Topic Model. In: Watanabe, T., Watada, J., Takahashi, N., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia: Systems and Services. Smart Innovation, Systems and Technologies, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29934-6_60
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DOI: https://doi.org/10.1007/978-3-642-29934-6_60
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