References (51)
References
Ahrens, K., Chung, S. F., & Huang, C. (2003). Conceptual metaphors: Ontology-based representation and corpora driven mapping principles. In Proceedings of the ACL 2003 workshop on lexicon and figurative language (Volume 14, pp. 35–41). Association for Computational Linguistics. DOI logoGoogle Scholar
Barcelona, A., & Ruiz de Mendoza Ibáñez, F. J. (2015). Bibliography of metaphor and metonymy. Amsterdam: John Benjamins Publishing Company.Google Scholar
Barnden, J. A. (1997). Consciousness and common-sense metaphors of mind. In S. O’Nuallain, P. McKevitt, & E. Mac Aogain (Eds.), Two sciences of mind: Readings in cognitive science and consciousness (pp. 311–340). Amsterdam: John Benjamins Publishing Company. DOI logoGoogle Scholar
Bogdanova, D. (2010). A framework for figurative language detection based on sense differentiation. In Proceedings of the ACL 2010 student research workshop (pp. 67–72). Association for Computational Linguistics.Google Scholar
Bolognesi, M., van den Heerik, R., van den Berg, E. (2018). VisMet: A corpus of visual metaphors. In G. J. Steen (Ed.), Visual metaphor: Structure and process. Amsterdam: John Benjamins Publishing Company.Google Scholar
Boroditsky, L. (2000). Metaphoric structuring: Understanding time through spatial metaphors. Cognition, 75(1), 1–28. DOI logoGoogle Scholar
Bowdle, B. F., & Gentner, D. (2005). The Career of Metaphor. Psychological Review, 112(1), 193–216. DOI logoGoogle Scholar
Cameron, L., Maslen, R., Todd, Z., Maule, J., Stratton, P., & Stanley, N. (2009) The discourse dynamics approach to metaphor and metaphor-led discourse analysis. Metaphor and Symbol, 24(2), 63–89. DOI logoGoogle Scholar
Cardillo, E. R., Schmidt, G. L., Kranjec, A., & Chatterjee, A. (2010). Stimulus design is an obstacle course: 560 matched literal and metaphorical sentences for testing neural hypotheses about metaphor. Behavior Research Methods, 42(3), 651–664. DOI logoGoogle Scholar
Casasanto, D., & Boroditsky, L. (2008). Time in the mind: Using space to think about time. Cognition, 106, 579–593. DOI logoGoogle Scholar
Dancygier, B., & Sweetser, E. (2014). Cambridge textbooks in linguistics. Figurative language. New York: Cambridge University Press.Google Scholar
David, O., Lakoff, G., & Stickles, E. (2016). Cascades in metaphor and grammar. A case study of metaphors in the gun debate. Constructions and Frames, 8(2), 214–255. DOI logoGoogle Scholar
de Vignemont, F., Majid, A., Jola, C., & Haggard, P. (2009). Segmenting the body into parts: evidence from biases in tactile perception. The Quarterly Journal of Experimental Psychology, 62(3), 500–512. DOI logoGoogle Scholar
Dodge, E. K., Hong, J., & Stickles, E. (2015). MetaNet: Deep semantic automatic metaphor analysis. In E. Shutova, B. B. Klebanov, & P. Lichtenstein (Eds.), Proceedings of the 3rd Workshop on metaphor in NLP (pp. 40–49). NAACL HLT. DOI logoGoogle Scholar
Eilts, C., & Lönneker, B. (2002). The Hamburg Metaphor Database. Metaphorik.de, 03(2002), 100–110.Google Scholar
Fass, D. (1991). Met*: A method for discriminating metonymy and metaphor by computer. Computational Linguistics, 17(1), 49–90.Google Scholar
Feldman, J. (2006). From molecule to metaphor. A neural theory of language. MIT Press, A Bradford Book. DOI logoGoogle Scholar
Fraser, B. (1975). Hedged performatives. In P. Cole, & J. Morgan (Eds.), Speech acts [Syntax and Semantics 3] (pp. 44–68). New York: Academic Press.Google Scholar
Gibbs, R. W., Jr. (1984). The poetics of mind. New York: Cambridge University Press.Google Scholar
(2006). Embodiment in cognitive science. New York: Cambridge University Press.Google Scholar
(2015). Does deliberate metaphor theory have a future? Journal of Pragmatics, 90(December 2015), 73–76. DOI logoGoogle Scholar
Gries, S. T. (2014). Corpus and quantitative methods. In J. Taylor, & J. Littlemore (Eds.), The Bloomsbury companion to cognitive linguistics (pp. 279–300). London: Bloomsbury.Google Scholar
Harmon-Jones, E., Gable, P. A., & Price, T. F. (2011). Leaning embodies desire: Evidence that leaning forward increases relative left frontal cortical activation to appetitive stimuli. Biological Psychology, 87(31), 1–313. DOI logoGoogle Scholar
Jostmann, N. B., Lakens, D., Schubert, T. W. (2009). Weight as an embodiment of importance. Psychological Science, 1(September), 1169–1174. DOI logoGoogle Scholar
Kövecses, Z. (2015). Surprise as a conceptual category. Review of Cognitive Linguistics, 13(2), 270–290. DOI logoGoogle Scholar
Krennmayr, T., & Steen, G. J. (2017). VU Amsterdam Metaphor Corpus. In N. Ide, & J. Pustejovsky (Eds.), Handbook of linguistic annotation. Dordrecht: Springer. DOI logoGoogle Scholar
Lakoff, G. (1993). The contemporary theory of metaphor. In A. Ortony (Ed.), Metaphor and thought. New York: Cambridge University Press. DOI logoGoogle Scholar
(2008). The neural theory of metaphor. In R. W. Gibbs, Jr. (Ed.), The Cambridge handbook of metaphor and thought (pp. 17–38). [Online]. Cambridge Handbooks in Psychology. Cambridge: Cambridge University Press. DOI logoGoogle Scholar
Lakoff, G., & Johnson, M. (1980). Metaphors we live by. Chicago: The University of Chicago Press. [Updated version, 2002]Google Scholar
Lakoff, G., Espenson, J., & Schwartz, A. (1991). Master metaphor list, second draft copy. Berkeley, CA: Cognitive Linguistics Group, University of California.Google Scholar
Li, L., & Sporleder, C. (2010). Using gaussian mixture models to detect figurative language in context. In Human language technologies. The 2010 annual conference of the North American chapter of the Association for Computational Linguistics (pp. 297–300). Association for Computational Linguistics.Google Scholar
Mason, Z. J. (2004). CorMet: A computational, corpus based conventional metaphor extraction system. Computational Linguistics, 30(1), 23–44. DOI logoGoogle Scholar
Matlock, T. (2004). Fictive motion as cognitive simulation. Memory & Cognition, 32, 1389–1400. DOI logoGoogle Scholar
McGlone, M. S. (1996). Conceptual metaphors and figurative language interpretation: Food for thought? Journal of Memory and Language, 35, 544–565. DOI logoGoogle Scholar
Panther, K.-U. (2015). Metonymic relationships among actuality, modality, evaluation, and emotion. In J. Daems, E. Zenner, K. Heylen, D. Speelman, & H. Cuyckens (Eds.), Change of paradigms – new paradoxes: Recontextualizing language and linguistics (pp. 129–146). Berlin: Mouton de Gruyter.Google Scholar
(2016). How to encode and infer linguistic actions. Chinese Semiotic Studies, 12(2), 177–214. DOI logoGoogle Scholar
Panther, K.-U., & Thornburg, L. (2017). Metaphor and metonymy in language and thought: A cognitive linguistic approach. Synthesis Philosophica, 64, 271–294. DOI logoGoogle Scholar
Pasanek, B. (2015). Metaphors of mind: An eighteenth-century dictionary. Johns Hopkins University Press.Google Scholar
Peirsman, Y., & Geeraerts, D. (2006). Metonymy as a prototypical category. Cognitive Linguistics, 17(3), 269–316. DOI logoGoogle Scholar
Peters, W., & Wilks, Y. (2003). Data-driven detection of figurative language use in electronic language resources. Metaphor and Symbol, 18(3), 161–173. DOI logoGoogle Scholar
Pragglejaz Group. (2007). MIP: A method for identifying metaphorically used words in discourse. Metaphor and Symbol 22(1), 1–39. DOI logoGoogle Scholar
Shutova, E. (2010). Models of metaphor in NLP. In Proceedings of the 48th annual meeting of the Association for Computational Linguistics (pp. 688–697). Association for Computational Linguistics.Google Scholar
(2011). Computational approaches to figurative language. Ph.D. thesis, University of Cambridge
Steen, G. J. (2011). The contemporary theory of metaphor – now new and improved! Review of Cognitive Linguistics, 9, 26–64. DOI logoGoogle Scholar
(2015). Developing, testing and interpreting deliberate metaphor theory. Journal of Pragmatics, 90(December 2015), 67–72. DOI logoGoogle Scholar
Steen, G. J., Dorst, A. G., Herrmann, J. B., Kaal, A., Krennmayr, T., & Pasma, T. (2010). A method for linguistic metaphor identification: From MIP to MIPVU. Amsterdam: John Benjamins Publishing Company. DOI logoGoogle Scholar
Veale, T., Shutova, E., & Beigman Klebanov, B. (2016). Metaphor: A computational perspective. Morgan Claypool, Synthesis Lectures on Human Language Technologies. DOI logoGoogle Scholar
de Vignemont, F. (2011). Embodiment, ownership and disownership. Consciousness and Cognition, 20(1), 82–93. DOI logoGoogle Scholar
Williams, L. E., & Bargh, J. A. (2008). Experiencing physical warmth promotes interpersonal warmth. Science, 322, 606–607. DOI logoGoogle Scholar
Wolff, P., & Gentner, D. (2000). Evidence for role-neutral initial processing of metaphors. Journal of Experimental Psychology: Learning, Memory, & Cognition, 26, 529–541. DOI logoGoogle Scholar
Zhong, C. B., & Leonardelli, G. J. (2008). Cold and lonely: Does social exclusion feel literally cold? Psychological Science, 19, 838–842. DOI logoGoogle Scholar