Chapter published in:
Metaphor and Metonymy in the Digital Age: Theory and methods for building repositories of figurative language
Edited by Marianna Bolognesi, Mario Brdar and Kristina Š. Despot
[Metaphor in Language, Cognition, and Communication 8] 2019
► pp. 123146
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 (Vol. 14, pp. 35–41). Association for Computational Linguistics. CrossrefGoogle 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
Brozović Rončević, D., Ćavar, D., Ćavar, M., Stojanov, T., Štrkalj Despot, K., Ljubešić, N., & Erjavec, T.
(2018) Croatian language corpus Riznica 0.1. Slovenian language resource repository CLARIN.SI. http://​hdl​.handle​.net​/11356​/1180.Google 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 2015. CrossrefGoogle Scholar
Eilts, C., & Lönneker, B.
(2002) The Hamburg Metaphor Database., 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
Fauconnier, G., & Turner, M.
(2003) The way we think. New York: Basic Books.Google Scholar
Feldman, J.
(2006) From molecule to metaphor. A neural theory of language. Cambridge, MA: MIT Press, A Bradford Book. CrossrefGoogle Scholar
Feldman, J., Dodge, E. K., & Bryant, J.
(2009) A neural theory of language and embodied construction grammar. In B. Heine, & H. Narrog (Eds.), The Oxford handbook of linguistic analysis (pp. 111–138). Oxford: Oxford University Press.Google Scholar
Fellbaum, C
(Ed.) (1998) WordNet: An electronic lexical database. Cambridge, MA: MIT Press. CrossrefGoogle Scholar
Fillmore, C. J.
(1976) Frame semantics and the nature of language. Annals of the New York Academy of Sciences, 280(1), 20–32. CrossrefGoogle Scholar
(1982) Frame semantics. In Linguistics in the morning calm: Linguistic Society of Korea (pp. 111–137). Seoul: Hanshin Publishing Company.Google Scholar
Fillmore, C. J., & Atkins, B. T.
(1992) Toward a frame-based lexicon: The semantics of RISK and its neighbors. In A. Lehrer, & E. F. Kittay (Eds.), Frames, fields, and contrasts: New essays in semantic and lexical organization (pp. 75–102). New York: Routledge.Google Scholar
Gedigian, M., Bryant, J., Narayanan, S., & Ciric, B.
(2006) Catching metaphors. ScaNaLU ‘06 Proceedings of the Third Workshop on Scalable Natural Language Understanding (pp. 41–48). Crossref
Grady, J.
(1997) Foundations of meaning. Doctoral dissertation, UC Berkely.
Johnson, C. R.
(1997) Constructional grounding. Doctoral dissertation, UC Berkeley.
Johnson, M.
(1987) The body in the mind. The bodily basis of meaning, imagination and reason. Chicago: The University of Chicago Press. CrossrefGoogle Scholar
(2007) The meaning of the body: Aesthetics of human understanding. Chicago: The University of Chicago Press. CrossrefGoogle Scholar
Kilgarriff, A., Rychly, P., Smrz, P., & Tugwell, D.
(2004) The sketch engine. In Proceedings EURALEX 2004 (pp. 105–116). Lorient, France.Google Scholar
Krennmayr T., & Steen G. J.
(2017) VU Amsterdam Metaphor Corpus. In N. Ide & J. Pustejovsky (Eds.), Handbook of linguistic annotation. Springer, Dordrecht. CrossrefGoogle Scholar
Krishnakumaran, S., & Zhu, X.
(2007).Hunting elusive metaphors using lexical resources. FigLanguages ‘07 Proceedings of the Workshop on Computational Approaches to Figurative Language (pp. 13–20). Crossref
Lakoff, G.
(1987) Women, fire, and dangerous things: What categories reveal about the mind. Chicago: The University of Chicago Press. CrossrefGoogle Scholar
(1993) The contemporary theory of metaphor. In A. Ortony (Ed.), Metaphor and thought. New York: Cambridge University Press. CrossrefGoogle Scholar
(2008) The neural theory of metaphor. In R. W. Gibbs, Jr. (Ed.), The Cambridge handbook of metaphor and thought (pp. 17–38). Cambridge: Cambridge University Press. CrossrefGoogle Scholar
(2012) Explaining embodied cognition results. Topics in Cognitive Science, 4(4), 773–785. CrossrefGoogle Scholar
Lakoff, G., & Johnson, M.
(1980) Metaphors we live by. Chicago: The University of Chicago Press. [Updated version, 2002]Google Scholar
(1999) Philosophy in the flesh: The embodied mind and its challenge to western thought. New York: Basic Books.Google Scholar
Lakoff, G., Espenson, J., & Schwartz, A.
(1991) Master metaphor list, second draft copy. Berkeley, CA: Cognitive Linguistics Group, University of California, Berkeley.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
Ljubešić, N., & Klubička, F.
(2014) {bs, hr, sr} WaC – web corpora of Bosnian, Croatian and Serbian. In Proceedings of the 9th web as corpus workshop (WaC-9) (pp. 29–35). Crossref
Martin, J. H.
(1990) A computational model of metaphor interpretation. Boston: Academic Press Professional, Inc.Google Scholar
Mason, Z. J.
(2004) CorMet: A computational, corpusbased conventional metaphor extraction system. Computational Linguistics, 30(1), 23–44. CrossrefGoogle Scholar
McGlone, M. S.
(1996) Conceptual metaphors and figurative language interpretation: Food for thought? Journal of Memory and Language, 35, 544–565. CrossrefGoogle Scholar
Mohler, M., Bracewell, D., Hinote, D., & Tomlinson, M.
(2013) Semantic signatures for example-based linguistic metaphor detection. In Proceedings of the first workshop on metaphor in NLP, Atlanta, Georgia, 13 June 2013 (pp. 27–35). Association for Computational Linguistics.Google Scholar
Narayanan, S.
(1997a) KARMA: Knowledge-based action representations for metaphor and aspect. Doctoral dissertation, UC Berkeley.
(1997b) Talking the talk is like walking the walk: A computational model of verbal aspect. In Proceedings of the 19th Cognitive Science Society Conference .
Peters, W., & Wilks, Y.
(2003) Data-driven detection of figurative language use in electronic language resources. Metaphor and Symbol, 18(3), 161–173. CrossrefGoogle Scholar
Ruppenhofer, J. K., Ellsworth, M., Petruck, M. R. L., Baker, C. F., & Scheffczyk, J.
(2016) FrameNet II: Extended theory and practice. Berkeley, CA: International Computer Science Institute.Google Scholar
Shastri, L.
(2003) Structured connectionist models. In M. Arbib (Ed.), The handbook of brain theory and neural networks (2nd ed.). Cambridge, MA: MIT PressGoogle 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
Sokolova, S.
(2013) Verbal prefixation and metaphor: How does metaphor interact with constructions? Journal of Slavic Linguistics, 21(1), 171–204. CrossrefGoogle Scholar
Steen, G. J., Dorst, A. G., Herrmann, B. J., Kaal, A., Krennmayr, T., & Pasma, T.
(2010) A method for linguistic metaphor identification, From MIP to MIPVU. Amsterdam: John Benjamins Publishing Company. CrossrefGoogle Scholar
Tonković, M., Brdar, M. & Despot, K.
In press). Is a difficult task literally heavy? Weight biases difficulty judgments. Metaphor and Social World.
Turner, M.
(1996) The literary mind. Oxford: Oxford University Press.Google Scholar
Veale, T., Shutova, E., & Beigman Klebanov, B.
(2016) Metaphor: A computational perspective. Morgan Claypool, Synthesis Lectures on Human Language Technologies. CrossrefGoogle Scholar
Wolff, P., & Gentner, D.
(2000) Evidence for role-neutral initial processing of metaphors. Journal of Experimental Psychology: Learning, Memory, & Cognition, 26, 529–541. CrossrefGoogle Scholar