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Fostering metaphorical creativity using computational metaphor identification
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Creativity and Cognition archive
Proceeding of the seventh ACM conference on Creativity and cognition table of contents
Berkeley, California, USA
SESSION: Theory, metrics, methods & tools II table of contents
Pages 315-324  
Year of Publication: 2009
ISBN:978-1-60558-865-0
Authors
Eric P.S. Baumer  University of California, Irvine, Irvine, CA, USA
Bill Tomlinson  University of California, Irvine, Irvine, CA, USA
Lindsey E. Richland  University of California, Irvine, Irvine, CA, USA
Janice Hansen  University of California, Irvine, Irvine, CA, USA
Sponsor
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Metaphor is often seen as a mode of creative thinking or as a means of fostering creativity. However, little work has studied creative generation of novel metaphors. This paper explores the use of computational metaphor identification (CMI) to foster creative generation of novel metaphors. CMI is a technique for analyzing textual corpora to identify potential conceptual metaphors. Drawing those metaphors to readers' attention can provide an opportunity to consider alternatives to current metaphors. This paper describes results from a study using CMI to foster metaphorical creativity in the context of science education. The results show that CMI leads to more creative mappings within metaphors. The key contributions of this paper are a demonstration that CMI can be used to foster more original metaphorical reasoning, and, more generally, implications for the study of metaphorical creativity.


REFERENCES

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1
Barron, F. and Harrington, D. Creativity, Intelligence, and Personality. Annual Review of Psychology 32, (1981), 439--476.
 
2
Blanchette, I. and Dunbar, K. Analogy use in Naturalistic settings: The influence of audience, emotion and goals. Memory and Cognition 29, (2001), 730--735.
 
3
Bowdle, B. and Gentner, D. The Career of Metaphor. Psychological Review 112, 1 (2005), 193--216.
 
4
Brown, R. T. Creativity: What are We to Measure. In J. A. Glover, R. R. Ronning and C. R. Reynolds, eds., Handbook of Creativity. Springer, Berlin, 1989.
 
5
Cameron, L. Metaphors in the Learning of Science: a discourse focus. British Educational Research Journal 28, (2002), 673--688.
 
6
Dunbar, K. How scientists really reason: Scientific reasoning in real-world laboratories. In Mechanisms of insight. MIT Press, Cambridge, MA, 1995, 365--395.
 
7
Dunbar, K. The Scientist InVivo: How scientists think and reason in the laboratory. In Model-based reasoning in scientific discovery. Plenum Press, New York, 1999.
 
8
Fass, D. Met*: A method for discriminating metonymy and metaphor by computer. Comp Ling 17, 1 (1991), 49--90.
 
9
Gardner, H. and Winner, E. The Development of Metaphoric Competence: Implications for Humanistic Disciplines. Critical Inquiry 5, 1, Special Issue on Metaphor (1978), 123--141.
 
10
Gentner, D. Structure-mapping: A theoretical framework for analogy. Cognitive Science 7, (1983), 155--170.
 
11
Gentner, D. Analogy in scientific discovery: The case of Johannes Kepler. In Model-based reasoning: Science, techonlogy, values. Kluwer Academic / Plenum, New York, 2002, 21--39.
 
12
Gentner, D., Bowdle, B., Wolff, P., and Boronat, C. Metaphor Is Like Analogy. In D. Gentner, K. J. Holyoak and B. Kokinov, eds., The Analogical Mind: Perspectives from Cognitive Science. MIT Press, Cambridge, MA, 2001, 199--253.
 
13
Gentner, D. and Gentner, D. Flowing waters or teeming crowds: Mental models of electricity. In D. Gentner and A. Stevens, eds., Mental Models. Lawrence Erlbaum Associates, Hillsdale, NJ, 1983, 99--129.
 
14
Gick, M. and Holyoak, K. J. Schema induction and analogical transfer. Cognitive Psychology 15, (1983), 1--38.
 
15
Gordon, W. Some source material in discovery-by-analogy. Journal of Creative Behavior 8, (1974), 239--257.
 
16
Guilford, J. The Nature of Human Intelligence. McGraw-Hill, New York, 1967.
 
17
Holyoak, K. J. and Koh, K. Surface and Structural Similarity in Analogical Transfer. Memory and Cognition 15, 4 (1987), 332--340.
 
18
Hummel, J. E. and Holyoak, K. J. Analogy and creativity: Schema introduction in a structure-sensitive connectionist model. In T. Dartnall, ed., Creativity, Cognition, and Knowledge: An Interaction. Praeger, Westport, CT, 2002, 181--210.
 
19
Klein, D. and Manning, C. Accurate Unlexicalized Parsing. Mtg of the Assoc for Comp Ling, (2003).
 
20
Kolb, E. M., Hey, J., Agogino, A., and Sebastian, H. Meta4acle: Generating Compelling Metaphors for Design. Proc of Amer Soc of Mech Engr (ASME), Design Theory and Methodology Conf, (2008).
 
21
Lakoff, G. The contemporary theory of metaphor. In A. Ortony, ed., Metaphor and thought, 2nd. ed. Cambridge Univ Press, New York, 1993, 202--251.
 
22
Lakoff, G. and Johnson, M. Metaphors We Live By. University of Chicago Press, Chicago, IL, 1980.
 
23
Lakoff, G. and Turner, M. More Than Cool Reason: A Field Guide to Poetic Metaphor. University of Chicago Press, Chicago and London, 1989.
 
24
Levy, L. H. Originality as Role-Defined Behavior. Journal of Personality and Social Psychology 9, 1 (1968), 72--78.
 
25
Lu, X. and Feldman, A. Workshop on Computational Approaches to Figurative Language. Human Lang Tech / Conf of the North Amer Chapt of the Assoc for Comp Ling (HLT/NAACL 2007), (2007).
 
26
de Marneffe, M., MacCartney, B., and Manning, C. Generating Typed Dependency Parses from Phrase Structure Parses. Lang Res and Eval (LREC), (2006).
 
27
Martin, J. A Computational Model of Metaphor Interpretation. Academic Press, San Diego, CA, 1990.
 
28
Mason, Z. CorMet: a computational, corpus-based conventional metaphor extraction system. Comp Ling 30, 1 (2004), 23--44.
 
29
Oxman-Michelli, W. Critical Thinking as Creativity. Montclair State, Institute for Critical Thinking, Montclair, NJ, 1991.
 
30
Penn, D. C., Holyoak, K .J., and Povinelli, D. J. Darwin's Mistake: Explaining the Discontinuity Between Human and Nonhuman Minds. Behavioral and Brain Sciences 31, 02 (2008), 109--130.
 
31
Poincaré, H. The Foundations of Science. The Science Press, Lancaster, PA, 1913.
 
32
Resnik, P. Selection and Information: A Class-Based Approach to Lexical Relationships. 1993, 161.