Article published in:
Metaphor and Communication
Edited by Elisabetta Gola and Francesca Ervas
[Metaphor in Language, Cognition, and Communication 5] 2016
► pp. 105–122
Published online: 24 February 2016
https://doi.org/10.1075/milcc.5.06bol
Cited by

Cited by 1 other publications

No author info given
2020.  In Where Words Get their Meaning [Converging Evidence in Language and Communication Research, 23], Crossref logo

This list is based on CrossRef data as of 01 march 2021. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

References

References

Andrews, M., Vigliocco, G., & Vinson, D.P.
(2009) Integrating experiential and distributional data to learn semantic representations. Psychological Review, 116(3), 463–498. CrossrefGoogle Scholar
Baroni, M., & Lenci, A.
(2010) Distributional memory: A general framework for corpus-based semantics. Computational Linguistics, 36(4), 673–721. CrossrefGoogle Scholar
Barsalou, L.W., Santos, A., Simmons, W.K., & Wilson, C.D.
(2008) Language and simulation in conceptual processing. In M. De Vega, A. Glenberg, & A. Graesser (Eds.), Symbols and embodiment: Debates on meaning and cognition (pp. 245–283). Oxford: Oxford University Press. CrossrefGoogle Scholar
Bruni, E., Tran, G.B., & Baroni, M.
(2011) Distributional semantics from text and images. Proceedings of the EMNLP 2011, Geometrical Models for Natural Language Semantics Workshop , 22–32.
Bullinaria, J.A., & Levy, J.P.
(2007) Extracting semantic representations from word co-occurrence statistics: a computational study. Behavior Research Methods, 39, 510–526. CrossrefGoogle Scholar
Cobb, T.
(1997) Is there any measurable learning from hands-on concordancing? System, 25(3), 301–315. CrossrefGoogle Scholar
De Vega, M., Glenberg, A.M., & Graesser, A.C.
(Eds.) ( 2008) Symbols and embodiment: debates on meaning and cognition. Oxford: Oxford University Press. CrossrefGoogle Scholar
Evans, V.
(2009) How words mean. Oxford: Oxford University Press. CrossrefGoogle Scholar
Feng, Y., & Lapata, M.
(2010) Visual information in semantic representations. Proceedings of the 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 91–99.
Fernández, A., & Gómez, S.
(2008) Solving non-uniqueness in agglomerative hierarchical clustering using multidendrograms. Journal of Classification, 25, 43–65. CrossrefGoogle Scholar
Firth, J.R.
(1957) Papers in Linguistics 1934-1951. Oxford: Oxford University Press.Google Scholar
Fraser, C.A.
(1999) Lexical processing strategy use and vocabulary learning through reading. Studies in Second Language Acquisition, 21(2), 225–241. CrossrefGoogle Scholar
Glenberg, A.M., & Robertson, D.A.
(2000) Symbol grounding and meaning: A comparison of high-dimensional and embodied theories of meaning. Journal of Memory and Language, 43, 379–401. CrossrefGoogle Scholar
Jones, M.N., Kintsch, W., & Mewhort, D.J.K.
(2006) High-dimensional semantic space accounts of priming. Journal of Memory and Language, 55(4), 534–552. CrossrefGoogle Scholar
Just, M.A.
(2008) What brain imaging can tell us about embodied meaning. In M. De Vega, A. Glenberg, & A. Graesser (Eds.), Symbols and embodiment: Debates on meaning and cognition (pp. 245–283). Oxford: Oxford University Press.Google Scholar
Kintsch, W.
(2000) Metaphor comprehension: A computational theory . Psychonomic Bulletin & Review, 7, 257–266. CrossrefGoogle Scholar
Kroll, J.F., & Stewart, E.
(1994) Category interference in translation and picture naming. Evidence for asymmetric connections between bilingual memory representations. Journal of Memory and Language, 33, 149–174. CrossrefGoogle Scholar
Lakoff, G.
(1993) The contemporary theory of metaphor. In A. Ortony (Ed.), Metaphor and thought (pp. 202–251). Cambridge: Cambridge University Press. CrossrefGoogle Scholar
Landauer, T.K., & Dumais, S.T.
(1997) A solution to Plato’s problem: The Latent Semantic Analysis theory of the acquisition, induction and representation of knowledge. Psychological Review, 104(2), 211–240. CrossrefGoogle Scholar
Littlemore, J.
(2001) Metaphoric intelligence and foreign language learning. Humanising Language Teaching, 3(2).Google Scholar
Lowe, W., & McDonald, S.
(2000) The direct route: Mediated priming in semantic space. Proceedings of the 22nd Annual Conference of the Cognitive Science Society LEA , 806–811.
MacDonald, S., & Ramscar, M.
(2001) Testing the distributional hypothesis: The influence of context on judgments of semantic similarity. Proceedings of the 23rd Annual Conference of the Cognitive Science Society LEA , 611–616.
Padó, S., & Lapata, M.
(2007) Dependency-based construction of semantic space models. Computational Linguistics, 33(2), 161–199. CrossrefGoogle Scholar
Pragglejaz Group
(2007) MIP: A method for identifying metaphorically used words in discourse. Metaphor and Symbol, 22(1), 1–39. CrossrefGoogle Scholar
Rapp, R.
(2003) Word sense discovery based on sense descriptor dissimilarity. Proceedings of the 9th MT Summit , 315–322.
Steen, G.
(2008) The paradox of metaphor: Why we need a three-dimensional model of metaphor. Metaphorand Symbol, 23(4), 213–241. CrossrefGoogle Scholar
Turney, P.D.
(2008) A uniform approach to analogies, synonyms, antonyms, and associations. Proceedings of the 22nd International Conference on Computational Linguistics , 905–912.
Walters, J.D.
(2004) Teaching the use of context to infer meaning: A. .. longitudinal survey of L1 and L2 vocabulary research. Language Teaching, 37(4), 243–252. CrossrefGoogle Scholar