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Moving Creative Words

  • Oliviero Stock
  • Carlo Strapparava
  • Alessandro Valitutti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4729)

Abstract

Among forms of creative language, verbal humor has received some attention in the computational milieu. Some aspects of irony and wordplay could be experimented in automated systems. For instance we developed a system that makes fun of existing acronyms, based mainly on lexical reasoning. The dimension of emotion in words is also starting to be understood among computational linguists. The challenge of electronic advertisements offers in particular a great opportunity for getting now deeper into creative language expression and emotion. An advertising message induces in the recipient a positive or negative attitude toward the object to advertise. A prototype we have developed for advertising professionals has two steps: (i) the creative variation of familiar expressions, taking into account the affective content of the produced text, (ii) the automatic animation (semantically consistent with the affective text content) of the resulting expression, using kinetic typography techniques. Validation prospects are also challenging and will be briefly discussed.

Keywords

Semantic Similarity Emotional Category Advertising Message British National Corpus Familiar Expression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Kitayama, S., Niedenthal, P.: The Heart’s Eye: Emotional influences in Perception and Attention. Academic Press, London (1994)Google Scholar
  2. 2.
    Kahneman, D.: Attention and Effort. Prentice-Hall, Englewood Cliffs (1973)Google Scholar
  3. 3.
    Isen, A.: Positive affect and decision making. In: Lewis, M., Haviland, J. (eds.) Handbook of Emotion, Guilford, New York (1993)Google Scholar
  4. 4.
    Attardo, S.: Linguistic Theories of Humor. Mouton de Gruyter, Berlin (1994)Google Scholar
  5. 5.
    Freud, S.: Der Witz und Seine Beziehung zum Unbewussten. Deutike, Leipzig and Vienna (1905)Google Scholar
  6. 6.
    Ruch, W.: Computers with a personality? lessons to be learned from studies of the psychology of humor. In: [33] (2002)Google Scholar
  7. 7.
    Ritchie, G.: Current directions in computational humour. Artificial Intelligence Review 16(2), 119–135 (2001)zbMATHCrossRefGoogle Scholar
  8. 8.
    Koestler, A.: The act of creation. Hutchinson, London (1964)Google Scholar
  9. 9.
    Raskin, V.: Semantic Mechanisms of Humor, Dordrecht, Boston, Lancaster (1985)Google Scholar
  10. 10.
    Binsted, K., Ritchie, G.: Computational rules for punning riddles. Humor 10(1) (1997)Google Scholar
  11. 11.
    Webb, K. (ed.): The Crack-a-Joke Book. Puffin, London (1978)Google Scholar
  12. 12.
    Stark, J., Binsted, K., Bergen, B.: Disjunctor selection for one-line jokes. In: Maybury, M., Stock, O., Wahlster, W. (eds.) INTETAIN 2005. LNCS (LNAI), vol. 3814, Springer, Heidelberg (2005)CrossRefGoogle Scholar
  13. 13.
    Stock, O., Strapparava, C.: Getting serious about the development of computational humour. In: IJCAI-03. Proceedings of the 18th International Joint Conference on Artificial Intelligence, Acapulco, Mexico (August 2003)Google Scholar
  14. 14.
    Mihalcea, R., Strapparava, C.: Laughter abounds in the mouths of computers: Investigations in automatic humor recognition. In: Maybury, M., Stock, O., Wahlster, W. (eds.) INTETAIN 2005. LNCS (LNAI), vol. 3814, Springer, Heidelberg (2005)CrossRefGoogle Scholar
  15. 15.
    Lewis, D., Yang, Y., Rose, T., Li, F.: RCV1: A new benchmark collection for text categorization research. The Journal of Machine Learning Research 5, 361–397 (2004)Google Scholar
  16. 16.
    BNC-Consortium: British national corpus (2000), http://www.hcu.ox.ac.uk/bnc/
  17. 17.
    Singh, P.: The public acquisition of commonsense knowledge. In: Proceedings of AAAI Spring Symposium: Acquiring (and Using) Linguistic (and World) Knowledge for Information Access, Palo Alto, CA (2002)Google Scholar
  18. 18.
    Taylor, J., Mazlack, L.: Computationally recognizing wordplay in jokes. In: Proceedings of CogSci 2004, Chicago (August 2004)Google Scholar
  19. 19.
    Mele, F.: Real and fictional ridicule. In: [33] (2002)Google Scholar
  20. 20.
    Taylor, J., Mazlack, L.: Toward computational recognition of humorous intent. In: COGSCI 2005. Proc. of the 27th Annual Conference of the Cognitive Science Society, Stresa, Italy (July 2005)Google Scholar
  21. 21.
    Pricken, M.: Creative Advertising. Thames & Hudson (2002)Google Scholar
  22. 22.
    Giora, R.: On Our Mind: Salience, Context and Figurative Language. Oxford University Press, New York (2003)Google Scholar
  23. 23.
    Ortony, A., Clore, G.L., Foss, M.A.: The psychological foundations of the affective lexicon. Journal of Personality and Social Psychology 53, 751–766 (1987)CrossRefGoogle Scholar
  24. 24.
    Strapparava, C., Valitutti, A., Stock, O.: The affective weight of lexicon. In: LREC 2006. Proceedings of the Fifth International Conference on Language Resources and Evaluation, Genoa, Italy (May 2006)Google Scholar
  25. 25.
    Valitutti, A., Strapparava, C., Stock, O.: Lexical resources and semantic similarity for affective evaluative expressions generation. In: Tao, J., Tan, T., Picard, R.W. (eds.) ACII 2005. LNCS, vol. 3784, Springer, Heidelberg (2005)CrossRefGoogle Scholar
  26. 26.
    Lee, J., Forlizzi, J., Hudson, S.: The kinetic typography engine: An extensible system for animating expressive text. In: Proc. of ACM UIST 2002 Conference, ACM Press, New York (2002)Google Scholar
  27. 27.
    Strapparava, C., Valitutti, A., Stock, O.: Dances with words. In: IJCAI 2007. Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India (January 2007)Google Scholar
  28. 28.
    Wild, B., Rodden, F.A., Grodd, W., Ruch, W.: Neural correlates of laughter and humour. Brain 126, 2121–2138 (2003)CrossRefGoogle Scholar
  29. 29.
    Suls, J.M.: A two-stage model for the appreciation of jokes and cartoons. In: Goldstein, P.E., McGhee, J.H. (eds.) The psychology of humour. Theoretical perspectives and empirical issue, pp. 81–100. Academic Press, New York (1972)Google Scholar
  30. 30.
    Mobbs, D., Greicius, M.D., Abdel-Azim, E., Menon, V., Reiss, A.L.: Humor modulates the mesolimbic reward centers. Neuron 40, 1041–1048 (2003)CrossRefGoogle Scholar
  31. 31.
    Bartolo, A., Benuzzi, F., Nocetti, L., Baraldi, P., Nichelli, P.: Humor comprehension and appreciation: An fmri study. Journal of Cognitive Neuroscience 18(11), 1789–1798 (2006)CrossRefGoogle Scholar
  32. 32.
    Schultz, W.: Getting formal with dopamine and reward. Neuron 36, 241–263 (2002)CrossRefGoogle Scholar
  33. 33.
    Stock, O., Strapparava, C., Nijholt, A. (eds.): TWLT20. Proceedings of the The April Fools Day Workshop on Computational Humour, Trento (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Oliviero Stock
    • 1
  • Carlo Strapparava
    • 1
  • Alessandro Valitutti
    • 1
  1. 1.Istituto per la Ricerca Scientifica e Tecnologica, FBK-irst, I-38050, Povo, TrentoItaly

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