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Table 10 left without paying the bill! a good reason to treat metonymy with conceptual graphs

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Conceptual Structures: Applications, Implementation and Theory (ICCS 1995)

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Abstract

Metonymy is a valuable test bed to appreciate the adequacy of a model of referential mechanisms occurring in natural language surface forms. Our concern in this paper is to propose an alternative treatment to deal with metonymy. We benefit considerably from the ability of conceptual graphs to express semantic norms for implementing a kind of preferential semantics and make special use of its normative apparatus including the type lattice used in the application, canonical graphs, conformity relation. The originality of our approach concerns two main points:

First, we treat not only nominal metonymies, as traditional works do, but also verbal ones. Whereas verb is always, in these approaches, considered as steady, we consider that the verbal operator itself can be a metonymical reference. This not only enlarges the field covered but also allows us to reach more realistic solutions.

The second point concerns the use of classical metonymy typologies. Canned metonymies may intervene in two ways, as guides and as filters; in the first case, they render the combinatorial problem manageable by focusing the search during the resolution; in the second case, they are a means to rank the relevance of the provided solutions.

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References and bibliography

  1. Anne Bérard-Dugourd, Jean Fargues, Marie-Claude Landau]: “Natural Language Analysis using Conceptual Graphs”, Proceedings of the International Computer Science Conference, Hong Kong, 1988.

    Google Scholar 

  2. Boris Carbonneill, Ollivier Haemmerlé: Implementing a CG Platform for Question/Answer and DataBase capabilities. Proceedings of the 2nd International Workshop on PEIRCE, Québec 1993, pp29–32.

    Google Scholar 

  3. Jaime Carbonnell.: Metaphor as a key to extensible semantic analysis, in Lehnert & Ringle eds, Strategies for natural langage processing, Lawrence Erlbaum Associates, publishers, pp.415–434, Hillsdale, New Jersey, 1982.

    Google Scholar 

  4. Jean Fargues: Sur le rôle de la pragmatique pour la résolution de problèmes difficiles d'analyse du langage naturel. 4† Ecole d'été sur le traitement des langues naturelles, organisée par le CNET, pp VII–1, VII-9. Lannion, 5–9 juillet 1993.

    Google Scholar 

  5. Dan Fass: Met*: a method for discriminating metonymy and metaphor by computer, computationnal linguistics, vol 17, n∘1, pp49–90.

    Google Scholar 

  6. Gilles Fauconnier: “Espaces mentaux, aspects de la construction du sens dans les langues naturelles”, 216 pages, Les éditions de Minuit, Paris, 1984.

    Google Scholar 

  7. Jerrold Katz, Jerry Fodor: The structure of the semantic theory, Langage n∘39, pp 170–210, 1963.

    Google Scholar 

  8. Daniel Kayser: What kind of thing is a concept ?, Computational intelligence, Vol.4, num. 8, 1988.

    Google Scholar 

  9. James Pustejovsky: The generative lexicon, Computationnal linguistics, vol 17, n∘4, pp409–441, 1991.

    Google Scholar 

  10. John Sowa: Conceptual Structures — Information in Mind and Machine, 481 pages, Addison Wesley, 1984.

    Google Scholar 

  11. J., E.C. Way: “IBM Journal of Research and Development”, Vol.30, n∘1, pp 57–69, 1986.

    Google Scholar 

  12. John Sowa: Logical structures in the lexicon, Knowledge-Based Sytems, vol 5, n∘3, pp 173–182, sepembre 1992.

    Google Scholar 

  13. J. Veronis, N.M. Ide: Word sense disambiguation with very large neural networks extracted from machine readable dictionaries, COLING 90, Helsinki, pp389–394, 1990.

    Google Scholar 

  14. E. C. Way: Metaphor as a mechanism for reorganizing the type hierarchy, Knowledge-Based Sytems, vol 5, n∘3, pp 223–232, septembre 1992.

    Google Scholar 

  15. Yorick Wilks: “A preferential pattern-seeking semantics for natural language inference”, Artificial intelligence, n∘6, pp 53–74, 1975.

    Google Scholar 

  16. Pierre Zweigenbaum: “MENELAS: an access system for medical records using natural language”, in Computer Methods and Programs in Biomedicine,à paraître, 1994.

    Google Scholar 

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Gerard Ellis Robert Levinson William Rich John F. Sowa

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© 1995 Springer-Verlag Berlin Heidelberg

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Amghar, T., Gayral, F., Levrat, B. (1995). Table 10 left without paying the bill! a good reason to treat metonymy with conceptual graphs. In: Ellis, G., Levinson, R., Rich, W., Sowa, J.F. (eds) Conceptual Structures: Applications, Implementation and Theory. ICCS 1995. Lecture Notes in Computer Science, vol 954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60161-9_34

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  • DOI: https://doi.org/10.1007/3-540-60161-9_34

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  • Online ISBN: 978-3-540-49539-0

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