Abstract
Research on storytelling over the last 100 years has distinguished at least two levels of narrative representation (1) story, or fabula; and (2) discourse, or sujhet. We use this distinction to create Fabula Tales, a computational framework for a virtual storyteller that can tell the same story in different ways through the implementation of general narratological variations, such as varying direct vs. indirect speech, character voice (style), point of view, and focalization. A strength of our computational framework is that it is based on very general methods for re-using existing story content, either from fables or from personal narratives collected from blogs. We first explain how a simple annotation tool allows naíve annotators to easily create a deep representation of fabula called a story intention graph, and show how we use this representation to generate story tellings automatically. Then we present results of two studies testing our narratological parameters, and showing that different tellings affect the reader’s perception of the story and characters.
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References
Bae, B.C., Cheong, Y.G., Young, R.M.: Toward a computational model of focalization in narrative. In Proceedings of the 6th International Conference on Foundations of Digital Games, pp. 313–315. ACM (2011)
Bal, M., Tavor, E.: Notes on narrative embedding. Poetics Today 2, 41–59 (1981)
Bickmore, T.W.: Relational agents: effecting change through human-computer relationships. Ph.D. thesis, MIT Media Lab (2003)
Callaway, C.B., Lester, J.C.: Narrative prose generation. Artif. Intell. 139(2), 213–252 (2002)
Elson, D.: Modeling Narrative Discourse. Ph.D. thesis (2012)
Fellbaum, C.: Wordnet: An electronic lexical database (1998). (WordNet is available from http://www.cogsci.princeton.edu/wn) (2010)
Genette, G.: Nouveau discours du récit. Éd. du Seuil, Paris (1983)
Gordon, A., Swanson, R.: Identifying personal stories in millions of weblog entries. In: Third International Conference on Weblogs and Social Media, Data Challenge Workshop, San Jose, CA (2009)
Gratch, J., Morency, L.P., Scherer, S., Stratou, G., Boberg, J., Koenig, S., Adamson, T., Rizzo, A.: User-state sensing for virtual health agents and telehealth applications. Stud. Health Technol. Inform. 184, 151–157 (2012)
Mel’čuk, A.: Dependency Syntax: Theory and Practice. SUNY Press, Albany (1988)
Kipper, K., Korhonen, A., Ryant, N., Palmer, M.: Extensive classifications of english verbs. In: Proceedings of the 12th EURALEX International Congress, pp. 1–15 (2006)
Lavoie, B., Rambow, O.: A fast and portable realizer for text generation systems. In: Procs of the 5th conference on Applied natural language processing, pp. 265–268. ACL (1997)
Lönneker, B.: Narratological knowledge for natural language generation. In: Proceedings of the 10th European Workshop on Natural Language Generation (ENLG-05), pp. 91–100. Citeseer (2005)
Lukin, S.M., Ryan, J.O., Walker, M.A.: Automating direct speech variations in stories and games (2014)
Mairesse, F., Walker, M.A.: Controlling user perceptions of linguistic style: trainable generation of personality traits. Comput. Linguist. 37, 455–488 (2011)
Montfort, N.: Generating narrative variation in interactive fiction. University of Pennsylvania (2007)
Pennebaker, J.W., Francis, M.E., Booth, R.J.: Linguistic Inquiry and Word Count: Liwc 2001. Lawrence Erlbaum Associates, Mahway (2001)
Pennebaker, J.W., Seagal, J.D.: Forming a story: the health benefits of narrative. J. Clin. Psychol. 55(10), 1243–1254 (1999)
Prince, G.: A Grammar of Stories: An Introduction. Walter de Gruyter, New York (1973). Number 13
Propp, V.I.: Morphology of the Folktale, vol. 9. University of Texas Press, Austin (1968)
Rishes, E., Lukin, S., Elson, D.K., Walker, M.A.: Generating dierent story tellings from semantic representations of narrative. In: Internation Conference on Interactive Digital Storytelling, ICIDS 2013 (2013)
Shklovsky, V.: Theory of Prose. Dalkey Archive Press, Champaign (1991)
Slater, M.D., Rouner, D.: Entertainment education and elaboration likelihood: Understanding the processing of narrative persuasion. Commun. Theory 12(2), 173–191 (2002)
Traum, D., Roque, A., Georgiou, A.L.P., Gerten, J., Narayanan, B.M.S., Robinson, S., Vaswani, A.: Hassan: a virtual human for tactical questioning. In: Proceedings of SIGDial (2007)
Walker, M.A., Grant, R., Sawyer, J., Lin, G.I., Wardrip-Fruin, N., Buell, M.: Perceived or not perceived: film character models for expressive NLG. In: Si, M., Thue, D., André, E., Lester, J., Tanenbaum, J., Zammitto, V. (eds.) ICIDS 2011. LNCS, vol. 7069, pp. 109–121. Springer, Heidelberg (2011)
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This research was supported by NSF Creative IT program grant #IIS-1002921, and a grant from the Nuance Foundation.
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Lukin, S.M., Walker, M.A. (2015). Narrative Variations in a Virtual Storyteller. In: Brinkman, WP., Broekens, J., Heylen, D. (eds) Intelligent Virtual Agents. IVA 2015. Lecture Notes in Computer Science(), vol 9238. Springer, Cham. https://doi.org/10.1007/978-3-319-21996-7_34
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DOI: https://doi.org/10.1007/978-3-319-21996-7_34
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