Abstract
In this paper we discuss the use of Case Retrieval Nets, a particular memory model for implementing case-base reasoning solutions, for implementing a heuristic lexicalisation module within a natural language generation application. We describe a text generator for fairy tales implemented using a generic architecture, and we present examples of how the Case Retrieval Net solves the Lexicalization task.
Keywords
- Fairy Tale
- Correspondent Node
- Text Generator
- Natural Language Generation
- Information Entity
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
Reiter, E., Dale, R.: Building Natural Language Generation Systems. Cambridge University Press, Cambridge (2000)
Goldberg, E., Driedger, N., Kittredge, R.: Using natural-language processing to produce weather forecasts. IEEE Expert: Intelligent Systems and Their Applications 9, 45–53 (1994)
Callaway, C., Lester, J.: Narrative prose generation. In: Proceedings of the 17th IJCAI, Seattle, WA, pp. 1241–1248 (2001)
DeSmedt, K., Horacek, H., Zock, M.: Architectures for natural language generation: Problems and perspectives. In: Ardoni, G., Zock, M. (eds.) EWNLG 1993. LNCS (LNAI), vol. 1036, pp. 17–46. Springer, Heidelberg (1995)
Cahill, L.: Lexicalisation in applied NLG systems. Technical Report ITRI-99-04 (1998)
Stede, M.: Lexical options in multilingual generation from a knowledge base. In: Adorni, G., Zock, M. (eds.) EWNLG 1993. LNCS, vol. 1036, pp. 222–237. Springer, Heidelberg (1996)
Daelemans, W.: Introduction to the special issue on memory-based language processing. J. Exp. Theor. Artif. Intell. 11, 287–296 (1999)
Daelemans, W., Gillis, S., Durieux, G.: The acquisition of stress: a data-oriented approach. Comput. Linguist. 20, 421–451 (1994)
Ng, H.T., Lee, H.B.: Integrating multiple knowledge sources to disambiguate word sense: an exemplar-based approach. In: Proceedings of the 34th annual meeting on Association for Computational Linguistics, Morristown, NJ, USA, Association for Computational Linguistics, pp. 40–47 (1996)
Cardie, C.: A case-based approach to knowledge acquisition for domain-specific sentence analysis. In: National Conference on Artificial Intelligence, pp. 798–803 (1993)
Aamodt, A., Plaza, E.: Case-based reasoning: Foundational issues, methodological variations, and system approaches (1994)
Lenz, M., Burkhard, H.D.: Case retrieval nets: Basic ideas and extensions. In: KI - Kunstliche Intelligenz, pp. 227–239 (1996)
Gervás, P., Díaz-Agudo, B., Peinado, F., Hervás, R.: Story plot generation based on CBR. In: Macintosh, A., Ellis, R., Allen, T. (eds.) 12th Conference on Applications and Innovations in Intelligent Systems. WICS series. Springer, Cambridge (2004)
García, C., Hervás, R., Gervás, P.: Una arquitectura software para el desarrollo de aplicaciones de generación de lenguaje natural. Procesamiento de Lenguaje Natural 33, 111–118 (2004)
Schank, R.: A Conceptual Dependency Representation for a Computer-Oriented Semantics. PhD thesis, University of Texas, Austin (1969)
Meehan, J.: Tale-spin, an interactive program that writes stories. In: Proceedings of the 5th International Joint Conference on Artificial Intelligence (1977)
Lenz, M., Burkhard, H.: Case Retrieval Nets: Foundations, properties,implementation, and results. Technical report, Humboldt University, Berlin (1996)
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Hervás, R., Gervás, P. (2005). Case Retrieval Nets for Heuristic Lexicalization in Natural Language Generation. In: Bento, C., Cardoso, A., Dias, G. (eds) Progress in Artificial Intelligence. EPIA 2005. Lecture Notes in Computer Science(), vol 3808. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595014_6
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DOI: https://doi.org/10.1007/11595014_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30737-2
Online ISBN: 978-3-540-31646-6
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