M2D: Monolog to Dialog Generation for Conversational Story Telling

  • Kevin K. BowdenEmail author
  • Grace I. Lin
  • Lena I. Reed
  • Jean E. Fox Tree
  • Marilyn A. Walker
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10045)


Storytelling serves many different social functions, e.g. stories are used to persuade, share troubles, establish shared values, learn social behaviors, and entertain. Moreover, stories are often told conversationally through dialog, and previous work suggests that information provided dialogically is more engaging than when provided in monolog. In this paper, we present algorithms for converting a deep representation of a story into a dialogic storytelling, that can vary aspects of the telling, including the personality of the storytellers. We conduct several experiments to test whether dialogic storytellings are more engaging, and whether automatically generated variants in linguistic form that correspond to personality differences can be recognized in an extended storytelling dialog.


Analysis and evaluation of systems ICIDS Dialog Natural language generation Personality Conversational storytelling 



We would like to thank Chung-Ning Chang and Diego Pedro for their roles as collaborators in the early inception of our system. This research was supported by NSF IIS CHS #1115742 and award #SC-14-74 from the Nuance Foundation.


  1. 1.
    Allport, G.W., Odbert, H.S.: Trait names: a psycho-lexical study. Psychol. Monogr. 47(1, Whole No. 211), 171–220 (1936)CrossRefGoogle Scholar
  2. 2.
    André, E., Rist, T., van Mulken, S., Klesen, M., Baldes, S.: The automated design of believable dialogues for animated presentation teams. In: Embodied Conversational Agents, pp. 220–255 (2000)Google Scholar
  3. 3.
    Bal, M., Tavor, E.: Notes on narrative embedding. Poetics Today 2, 41–59 (1981)CrossRefGoogle Scholar
  4. 4.
    Bavelas, J.B., Coates, L., Johnson, T.: Listeners as co-narrators. J. Pers. Soc. Psychol. 79(6), 941 (2000)CrossRefGoogle Scholar
  5. 5.
    Biber, D.: Variation Across Speech and Writing. Cambridge University Press, Cambridge (1991)Google Scholar
  6. 6.
    Burton, K., Java, A., Soboroff, I.: The icwsm 2009 spinn3r dataset. In: Proceedings of the Annual Conference on Weblogs and Social Media (ICWSM) (2009)Google Scholar
  7. 7.
    De Haan, P.: More on the language of dialogue in fiction. ICAME J. 20, 23–40 (1996)Google Scholar
  8. 8.
    Genette, G.: Nouveau discours du récit. Éd. du Seuil (1983)Google Scholar
  9. 9.
    Goldberg, L.R.: An alternative “description of personality”: the big-five factor structure. J. Pers. Soc. Psychol. 59, 1216–1229 (1990)CrossRefGoogle Scholar
  10. 10.
    Zhichao, H., Dick, M., Chang, C.-N., Bowden, K., Neff, M., Tree, J.F., Walker, M.: A corpus of gesture-annotated dialogues for monologue-to-dialogue generation from personal narratives. In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) (2016)Google Scholar
  11. 11.
    Zhichao, H., Walker, M., Neff, M., Jean, E.: Fox tree: storytelling agents with personality and adaptivity. Intell. Virtual Agents, p. 30 (2015)Google Scholar
  12. 12.
    Lavoie, B., Rambow, O.: A fast and portable realizer for text generation systems. In: Proceedings of the Third Conference on Applied Natural Language Processing, ANLP 1997, pp. 265–268 (1997)Google Scholar
  13. 13.
    Lukin, S., Bowden, K., Barackman, C., Walker, M.: Personabank: a corpus of personal narratives and their story intention graphsGoogle Scholar
  14. 14.
    Lukin, S.M., Walker, M.A.: Narrative variations in a virtual storyteller. In: Brinkman, W.-P., Broekens, J., Heylen, D. (eds.) IVA 2015. LNCS (LNAI), vol. 9238, pp. 320–331. Springer, Heidelberg (2015). doi: 10.1007/978-3-319-21996-7_34 CrossRefGoogle Scholar
  15. 15.
    Lukin, S.M., Reed, L.I., Walker, M.: Generating sentence planning variations for story telling. In: 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, p. 188 (2015)Google Scholar
  16. 16.
    Mairesse, F., Walker, M.A.: Towards personality-based user adaptation: psychologically informed stylistic language generation. User Model. User-Adap. Inter. 20, 1–52 (2010)CrossRefGoogle Scholar
  17. 17.
    McAdams, D.P., Anyidoho, N.A., Brown, C., Huang, Y.T., Kaplan, B., Machado, M.A.: Traits and stories: links between dispositional and narrative features of personality. J. Person. 72(4), 761–784 (2004)CrossRefGoogle Scholar
  18. 18.
    Meehan, J.: The metanovel: writing stories by computer, pp. 197–258 (1976)Google Scholar
  19. 19.
    Melčuk, I.A.: Dependency Syntax: Theory and Practice. SUNY, Albany (1988)Google Scholar
  20. 20.
    Moreno, R., Mayer, R., Lester, J.: Life-like pedagogical agents in constructivist multimedia environments: cognitive consequences of their interaction. In: World Conference on Educational Media and Technology, vol. 1, pp. 776–781 (2000)Google Scholar
  21. 21.
    Neff, M., Wang, Y., Abbott, R., Walker, M.: Evaluating the effect of gesture and language on personality perception in conversational agents. In: Allbeck, J., Badler, N., Bickmore, T., Pelachaud, C., Safonova, A. (eds.) IVA 2010. LNCS (LNAI), vol. 6356, pp. 222–235. Springer, Heidelberg (2010). doi: 10.1007/978-3-642-15892-6_24 CrossRefGoogle Scholar
  22. 22.
    Pasupathi, M., Hoyt, T.: The development of narrative identity in late adolescence and emergent adulthood: the continued importance of listeners. Dev. Psychol. 45(2), 558–574 (2009)CrossRefGoogle Scholar
  23. 23.
    Peinado, F., Gervás, P.: Evaluation of automatic generation of basic stories. New Gener. Comput. Spec. Issue Comput. Creat. 24(3), 289–302 (2006)CrossRefzbMATHGoogle Scholar
  24. 24.
    Pennebaker, J.W., Seagal, J.D.: Forming a story: the health benefits of narrative. J. Clin. Psychol. 55(10), 1243–1254 (1999)CrossRefGoogle Scholar
  25. 25.
    Piwek, P., Stoyanchev, S.: Generating expository dialogue from monologue: motivation, corpus and preliminary rules. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 333–336. Association for Computational Linguistics (2010)Google Scholar
  26. 26.
    Piwek, P., Hernault, H., Prendinger, H., Ishizuka, M.: T2D: generating dialogues between virtual agents automatically from text. In: Pelachaud, C., Martin, J.-C., André, E., Chollet, G., Karpouzis, K., Pelé, D. (eds.) IVA 2007. LNCS (LNAI), vol. 4722, pp. 161–174. Springer, Heidelberg (2007). doi: 10.1007/978-3-540-74997-4_16 CrossRefGoogle Scholar
  27. 27.
    Piwek, P., Stoyanchev, S.: Data-oriented monologue-to-dialogue generation. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Short Papers-Vol. 2, pp. 242–247. Association for Computational Linguistics (2011)Google Scholar
  28. 28.
    Prince, G.: A Grammar of Stories: An Introduction, vol. 13. Walter de Gruyter, Berlin (1973)Google Scholar
  29. 29.
    Propp, V.: Morphology of the Folk Tale, 2nd edn. University of Texas Press, Austin (1969). Trans. Originally published, Laurence Scott 1928Google Scholar
  30. 30.
    Rapp, D.N., Gerrig, R.J., Prentice, D.A.: Readers’ trait-based models of characters in narrative comprehension. J. Memory Lang. 45(4), 737–750 (2001)CrossRefGoogle Scholar
  31. 31.
    Rishes, E., Lukin, S.M., Elson, D.K., Walker, M.A.: Generating different story tellings from semantic representations of narrative. In: Koenitz, H., Sezen, T.I., Ferri, G., Haahr, M., Sezen, D., C̨atak, G. (eds.) ICIDS 2013. LNCS, vol. 8230, pp. 192–204. Springer, Heidelberg (2013). doi: 10.1007/978-3-319-02756-2_24 CrossRefGoogle Scholar
  32. 32.
    Ross, L.: The intuitive psychologist and his shortcomings: distortions in the attribution process. Adv. Exp. Soc. Psychol. 10, 173–220 (1977)CrossRefGoogle Scholar
  33. 33.
    Ryokai, K., Vaucelle, C., Cassell, J.: Virtual peers as partners in storytelling and literacy learning. J. Comput. Assist. Learn. 19(2), 195–208 (2003)CrossRefGoogle Scholar
  34. 34.
    Schiffrin, D.: Tense variation in narrative. Language 57, 45–62 (1981)CrossRefGoogle Scholar
  35. 35.
    Speer, N.K., Reynolds, J.R., Swallow, K.M., Zacks, J.M.: Reading stories activates neural representations of visual and motor experiences. Psychol. Sci. 20(8), 989–999 (2009)CrossRefGoogle Scholar
  36. 36.
    Stoyanchev, S., Piwek, P.: Harvesting re-usable high-level rules for expository dialogue generation. In: Proceedings of the 6th International Natural Language Generation Conference, pp. 145–154. Association for Computational Linguistics (2010)Google Scholar
  37. 37.
    Tannen, D.: Talking Voices: Repetition, Dialogue, and Imagery in Conversational Discourse. Cambridge University Press, Cambridge (1989)Google Scholar
  38. 38.
    Thorne, A.: The press of personality: a study of conversations between introverts and extraverts. J. Person. Soc. Psychol. 53(4), 718 (1987)MathSciNetCrossRefGoogle Scholar
  39. 39.
    Thorne, A., Korobov, N., Morgan, E.M.: Channeling identity: a study of storytelling in conversations between introverted and extraverted friends. J. Res. Person. 41(5), 1008–1031 (2007)CrossRefGoogle Scholar
  40. 40.
    Thorne, A., McLean, K.C., Lawrence, A.M.: When remembering is not enough: reflecting on self-defining memories in late adolescence. J. Person. 72(3), 513–542 (2004)CrossRefGoogle Scholar
  41. 41.
    Van Deemter, K., Krenn, B., Piwek, P., Klesen, M., Schröder, M., Baumann, S.: Fully generated scripted dialogue for embodied agents. Artif. Intell. 172(10), 1219–1244 (2008)CrossRefzbMATHGoogle Scholar
  42. 42.
    Wade, E., Clark, H.H.: Reproduction and demonstration in quotations. J. Memory Lang. 32(6), 805–819 (1993)CrossRefGoogle Scholar
  43. 43.
    Yao, B., Scheepers, C.: Contextual modulation of reading rate for direct versus indirect speech quotations. Cognition 121(3), 447–453 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Kevin K. Bowden
    • 1
    Email author
  • Grace I. Lin
    • 1
  • Lena I. Reed
    • 1
  • Jean E. Fox Tree
    • 1
  • Marilyn A. Walker
    • 1
  1. 1.Natural Language and Dialog Systems LabUniversity of CaliforniaSanta CruzUSA

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