Artificial intelligence, figurative language and cognitive linguistics

Cognitive Linguistics: Current Applications and Future Perspectives

Volumn , Issue , 2008, Pages 431-459

  Barnden, John A ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Artificial intelligence; Computational models; Conceptual domains; Metaphor; Metonymy

Indexed keywords

EID: 38049016080     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (80)

1. Asher, Nicholas, and Lascarides, Alex 1995 Metaphor in discourse. In Proceedings of the AAAI Spring Symposium Series: Representation and Acquisition of Lexical Knowledge: Polysemy, Ambiguity and Generativity, 3-7. Stanford, CA.
2. Barnden, John 1998 Combining uncertain belief reasoning and uncertain metaphor-based reasoning. In Proceedings of the Twentieth Annual Meeting of the Cognitive Science Society, Morton A. Gernsbacher, and Sharon J. Derry (eds.), 114-119. Mahwah, NJ: Lawrence Erlbaum.
3. Barnden, John 2001a Uncertainty and conflict handling in the ATT-Meta context-based system for metaphorical reasoning. In Proceedings of the Third International Conference on Modeling and Using Context, Varol Akman, Paolo Bouquet, Rich Thomason, and Roger A. Young (eds.), 15-29. Lecture Notes in Artificial Intelligence, Vol. 2116. Berlin: SpringerVerlag.
4. Barnden, John 2001b Application of the ATT-Meta metaphor-understanding approach to selected examples from Goatly. Technical Report CSRP-01-01, School of Computer Science, The University of Birmingham.
5. Barnden, John 2001c Application of the ATT-Meta metaphor-understanding approach to various examples in the ATT-Meta project databank. Technical Report CSRP-01-02, School of Computer Science, The University of Birmingham.
6. Barnden, John 2005 Metaphor and metonymy: Escaping the domination of domains. Talk delivered at New Directions in Cognitive Linguistics: First UK Cognitive Linguistics Conference, University of Sussex, Brighton, U.K., October 2005.
7. In press a Metaphor and artificial intelligence: Why they matter to each other. In Cambridge Handbook of Metaphor and Thought, Ray W. Gibbs, Jr. (ed.). Cambridge, MA: Cambridge University Press.
8. In press b Metaphor, semantic preferences and context-sensitivity. Words and Intelligence. Vol. 1: A Festschrift for Yorik Wilks, C. Brewster, M. Stevenson (eds.). Berlin: Springer-Verlag.
9. Barnden, John, Sheila Glasbey, Mark Lee, and Alan Wallington 2002 Application of the ATT-Meta metaphor-understanding system to examples of the metaphorical view of TEACHERS AS MIDWIVES. Technical Report CSRP-02-10, School of Computer Science, The University of Birmingham.
10. Barnden, John, Sheila Glasbey, Mark Lee, and Alan Wallington 2003 Domain-transcending mappings in a system for metaphorical reasoning. In Conference Companion to the 10th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2003), 57-61. Association for Computational Linguistics.
11. Barnden, John, Sheila Glasbey, Mark Lee, and Alan Wallington 2004 Varieties and directions of inter-domain influence in metaphor. Metaphor and Symbol 19 (1): 1-30.
12. Barnden, John, Stephen Helmreich, Eric Iverson, and Gees Stein 1994 An integrated implementation of simulative, uncertain and metaphorical reasoning about mental states. In Principles of Knowledge Representation and Reasoning: Proceedings of the Fourth International Conference, Jon Doyle, Erik Sandewall, and Pietro Torasso (eds.), 27-38. San Mateo, CA: Morgan Kaufmann.
13. Barnden, John, Stephen Helmreich, Eric Iverson, and Gees Stein 1996 Artificial intelligence and metaphors of mind: within-vehicle reasoning and its benefits. Metaphor and Symbolic Activity 11 (2): 101-123.
14. Barnden, John, and Mark Lee 1999 An implemented context system that combines belief reasoning, metaphor-based reasoning and uncertainty handling. In Second International and Interdisciplinary Conference on Modeling and Using Context, Paolo Bouquet, Patrick Brezillon, and Luciano Serafini (eds.), 28-41. (Lecture Notes in Artificial Intelligence, 1688.) Berlin: Springer-Verlag.
15. Barnden, John, and Mark Lee 2001 Understanding usages of conceptual metaphors: An approach and artificial intelligence system. Technical Report CSRP-01-05, School of Computer Science, University of Birmingham.
16. Blackwell, Alan In press The reification of metaphor as a design tool. In ACM Transactions on Computer-Human Interaction.
17. Cameron, Lynne 1999 Operationalising 'metaphor' for applied linguistic research. In Researching and Applying Metaphor, Lynn Cameron, and Graham Low (eds.), 1-28. Cambridge: Cambridge University Press.
18. Carbonell, Jaime 1980 Metaphor - a key to extensible semantic analysis. In Proceedings of the 18th Annual Meeting of the Association for Computational Linguistics, 17-21.
19. Croft, William 1982 Metaphor: an inescapable phenomenon in natural-language comprehension. In Strategies for Natural Language Processing, Wendy Lehnert, and Martin Ringle (eds.), 415-434. Hillsdale, NJ: Lawrence Erlbaum.
20. Delfino, Manuela, and Stefania Manca 2005 Figurative language expressing emotion and motivation in a web based learning environment. In Proceedings of the Symposium on Agents that Want and Like: Motivational and Emotional Roots of Cognition and Action, 37-40. AISB'05 Convention, University of Hertfordshire, UK, April 2005. Brighton, UK: Society for the Study of Artificial Intelligence and Simulation of Behaviour.
21. Dirven, René, and Ralf Pörings (eds.) 2002 Metaphor and Metonymy in Comparison and Contrast. Berlin/New York: Mouton de Gruyter.
22. Emanatian, Michele 1995 Metaphor and the experience of emotion: the value of cross-cultural perspectives. Metaphor and Symbolic Activity 10 (3): 163-182.
23. Fainsilber, Lynn, and Andrew Ortony 1987 Metaphorical uses of language in the expression of emotions. Metaphor and Symbolic Activity 2 (4): 239-250.
24. Fass, Dan 1997 Processing Metaphor and Metonymy. Greenwich, Connecticut: Ablex.
25. Fauconnier, Gilles, and Mark Turner 1998 Conceptual integration networks. Cognitive Science 22 (2): 133-187.
26. Fussell, Susan, and Mallie Moss 1998 Figurative language in descriptions of emotional states. In Social and Cognitive Approaches to Interpersonal Communication, Susan Fussell, and Roger J. Kreuz (eds.), Mahwah, N. J.: Lawrence Erlbaum.
27. Grady, Joseph 2002 THEORIES ARE BUILDINGS revisited. Cognitive Linguistics 8 (4): 267-290.
28. Gross, Linden 1994 Facing up to the dreadful dangers of denial. Cosmopolitan (USA edition) 216 (3): 190-193.
29. Hall, Rogers 1989 Computational approaches to analogical reasoning: a comparative analysis. Artificial Intelligence 39: 39-120.
30. Hobbs, Jerry 1990 Literature and Cognition. (CSLI Lecture Notes 21). Stanford, CA:
31. CSLI Publications. 1992 Metaphor and abduction. In Communication from an Artificial Intelligence Perspective: Theoretical and Applied Issues, Andrew Ortony, Jon Slack, and Oliveiro Stock (eds.), 35-58. Berlin: Springer-Verlag.
32. Indurkhya, Bipin 1991 Modes of metaphor. Metaphor and Symbolic Activity 6 (1): 1-27.
33. Indurkhya, Bipin 1992 Metaphor and cognition: An Interactionist Approach. Dordrecht: Kluwer.
34. Iverson, Eric, and Stephen Helmreich 1992 Metallel: an integrated approach to non-literal phrase interpretation. Computational Intelligence 8 (3): 477-493.
35. Kittay, Eva 1989 Metaphor: Its Cognitive Force and Linguistic Structure. Oxford: Clarendon Press.
36. Kolodner, Janet 1993 Case-Based Reasoning. San Mateo, CA: Morgan Kaufmann.
37. Kövecses, Zoltán 2000 Metaphor and Emotion: Language, Culture, and Body in Human Feeling. Cambridge: Cambridge University Press.
38. Lakoff, George 1987 Women, Fire and Dangerous Things. What Categories Reveal about the Mind Chicago: University of Chicago Press.
39. Lakoff, George 1993 The contemporary theory of metaphor. In Metaphor and Thought, 2nd ed., Andrew Ortony (ed.), 202-251. Cambridge: Cambridge University Press.
40. Lakoff, George, and Mark Johnson 1980 Metaphors We Live By. Chicago: University of Chicago Press.
41. Lakoff, George, and Mark Turner 1989 More Than Cool Reason: A Field Guide to Poetic Metaphor. Chicago: University of Chicago Press.
42. Lapata, Mirella, and Alex Lascarides 2003 A probabilistic account of logical metonymy. In Computational Linguistics 29 (2): 261-315.
43. Lee, Mark, and John Barnden 2001a Reasoning about mixed metaphors with an implemented AI system. Metaphor and Symbol 16 (1&2): 29-42.
44. Lee, Mark, and John Barnden 2001b Mental metaphors from the Master Metaphor List: Empirical examples and the application of the ATT-Meta system. Technical Report CSRP-01-03. School of Computer Science, The University of Birmingham.
45. Lytinen, Steven, Robert Burridge, and Jeffrey Kirtner 1992 The role of literal meaning in the comprehension of non-literal constructions. Computational Intelligence 8 (3): 416-432.
46. Markert, Katja, and Udo Hahn 2002 Understanding metonymies in discourse. Artificial Intelligence 135:145-198.
47. Markert, Katja, and Malvina Nissim 2003 Corpus-based metonymy analysis. Metaphor and Symbol 18 (3): 175-188.
48. Martin, James 1990 A Computational Model of Metaphor Interpretation. San Diego, CA: Academic Press.
49. Martin, James 1996 Computational approaches to figurative language. Metaphor and Symbolic Activity 11 (1): 85-100.
50. Martin, James 2000 Representing UNIX domain metaphors. Artificial Intelligence Review 14 (4-5): 377-401.
51. Mason, Zachary 2004 CorMet: A computational, corpus-based conventional metaphor extraction system. Computational Linguistics 30 (1): 23-44.
52. McNeil, David 1992 Hand and Mind: What Gestures Reveal about Thought. Chicago: University of Chicago Press.
53. Narayanan, Srini 1997 KARMA: Knowledge-based action representations for metaphor and aspect. Ph.D. diss., Computer Science Division, EECS Department, University of California, Berkeley.
54. Narayanan, Srini 1999 Moving right along: A computational model of metaphoric reasoning about events. Proceedings of the National Conference on Artificial Intelligence (AAAI '99), 121-128. AAAI Press.
55. Norvig, Peter 1989 Marker passing as a weak method of text inferencing. Cognitive Science 13 (4): 569-620.
56. Peirsman, Yves, and Dirk Geeraerts In press Metonymy as a prototypical category. Cognitive Linguistics.
57. Pereira, Francisco In press Creativity and Artificial Intelligence: A Conceptual Blending Approach. Berlin/New York: Mouton de Gruyter.
58. Pustejovsky, James 1995 The Generative Lexicon. Cambridge, MA: MIT Press.
59. Radden, Günter 2002 How metonymic are metaphors? In Metaphor and Metonymy in Comparison and Contrast, René Dirven, and Ralf Pörings (eds.), 407-434. Berlin/New York: Mouton de Gruyter.
60. Russell, Sylvia Weber 1976 Computer understanding of metaphorically used verbs. American Journal of Computational Linguistics 2: 15-28.
61. Russell, Sylvia Weber 1986 Information and experience in metaphor: a perspective from computer analysis. Metaphor and Symbolic Activity 1 (4): 227-270.
62. Russell, Stuart, and Peter Norvig 2002 Artificial intelligence: A Modern Approach. Englewood Cliffs, NJ: Prentice-Hall.
63. Stallard, David 1987 The logical analysis of lexical ambiguity. In Proceedings of the 25 th Annual Meeting of the Association for Computational Linguistics, 179-185, Stanford, CA: Stanford University.
64. Stallard, David 1993 Two kinds of metonymy. In Proceedings of the 31st Annual Meeting of the Association for Computational Linguistics, 87-94. Ohio: Ohio State University.
65. Thomas, Owen 1969 Metaphor and Related Subjects. New York: Random House.
66. Tourangeau, Roger, and Robert Sternberg 1982 Understanding and appreciating metaphors. Cognition 11: 203-244.
67. Veale, Tony 1988 'Just in Time' analogical mapping, an iterative-deepening approach to structure-mapping. In Proceedings of the Thirteenth European Conference on Artificial Intelligence (ECAI'98). John Wiley.
68. Veale, Tony, and Mark Keane 1992 Conceptual scaffolding: a spatially founded meaning representation for metaphor comprehension. Computational Intelligence 8 (3): 494-519.
69. Veale, Tony, and Diarmuid O'Donoghue 2000 Computation and blending. Cognitive Linguistics 11 (3): 253-281.
70. Way, Eileen 1991 Knowledge Representation and Metaphor. Dordrecht: Kluwer.
71. Weber, Susan 1989 Figurative adjective-noun interpretation in a structured connectionist network. In Proceedings of the Eleventh Annual Conference of the Cognitive Science Society, 204-211. Hillsdale, NJ: Lawrence Erlbaum.
72. Weiner, Judith 1984 A knowledge representation approach to understanding metaphors. Computational Linguistics 10 (1): 1-14.
73. Wilcox, Phyllis 2004 A cognitive key: Metonymic and metaphorical mappings in ASL. Cognitive Linguistics 15 (2): 197-222.
74. Wilcox, Sherman 2004 Cognitive iconicity: Conceptual spaces, meaning, and gesture in signed language. Cognitive Linguistics 15 (2): 119-147.
75. Wilks, Yorick 1978 Making preferences more active. Artificial Intelligence 11: 197-223.
76. Wilks, Yorick, John Barnden, and Jin Wang 1991 Your metaphor or mine: belief ascription and metaphor interpretation. In Proceedings of the 12th International Joint Conference on Artificial Intelligence, 945-950. San Mateo: Morgan Kaufmann.
77. Winston, Patrick 1979 Learning by creating and justifying transfer frames. In Patrick Winston and Richard Brown (eds.), Artificial Intelligence: An MIT Perspective, Vol. 1, 347-374. Cambridge, MA.: MIT Press.
78. Woll, Bencie 1985 Visual imagery and metaphor in British Sign Language. In Wolf Paprotté and René Dirven (eds.), The Ubiquity of Metaphor: Metaphor in Language and Thought, 601-628. Amsterdam/Philadelphia: Benjamins.
79. Yu, Ning 1995 Metaphorical expressions of anger and happiness in English and Chinese. Metaphor and Symbolic Activity 10 (2): 59-92.
80. Zhang, Li, John Barnden, and Robert Hendley 2005 Affect detection and metaphor in e-drama: The first stage. In Proceedings of the Workshop on Narrative Learning Environments, 12th International Conference on Artificial Intelligence in Education (AIED-2005), Amsterdam.