Abstract
The present paper describes a case-based reasoning solution for solving the task of selecting adequate templates for realizing messages describing actions in a given domain. This solution involves the construction of a case base from a corpus of example texts, using information from WordNet to group related verbs together. A case retrieval net is used as a memory model. A taxonomy of the concepts involved in the texts is used to compute similarity between concepts. The set of data to be converted into text acts as a query to the system. The process of solving a given query may involve several retrieval processes – to obtain a set of cases that together constitute a good solution for transcribing the data in the query as text messages – and a process of knowledge-intensive adaptation which resorts to a knowledge base to identify appropriate substitutions and completions for the concepts that appear in the cases, using the query as a source. We describe this case-based solution, and we present examples of how it solves the task of selecting an appropriate set of templates to render a given set of data as text.
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References
Reiter, E., Dale, R.: Building Natural Language Generation Systems. Cambridge University Press, Cambridge (2000)
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., 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 ACL 1996, NJ, USA, pp. 40–47. ACL (1996)
Cardie, C.: Integrating Case-Based Learning and Cognitive Biases for Machine Learning of Natural Language. Journal of Experimental and Theoretical Artificial Intelligence 11, 297–337 (1999)
Daelemans, W.: Introduction to the special issue on memory-based language processing. J. Exp. Theor. Artif. Intell. 11, 287–296 (1999)
Gervás, P., Díaz-Agudo, B., Peinado, F., Hervás, R.: Story Plot Generation based on CBR. Journal of Knowledge-Based Systems 18, 235–242 (2005)
Miller, G.A.: Wordnet: a lexical database for English. Commun. ACM 38, 39–41 (1995)
Gomes, P., Pereira, F.C., Paiva, P., Seco, N., Carreiro, P., Ferreira, J., Bento, C.: Selection and Reuse of Software Design Patterns Using CBR and WordNet. In: Proc. of the 15th International Conference on Software Engineering and Knowledge Engineering (SEKE 2003) (2003)
Lenz, M., Burkhard, H.D.: Case Retrieval Nets: Basic Ideas and Extensions. In: KI - Kunstliche Intelligenz, pp. 227–239 (1996)
Hervás, R., Gervás, P.: Case Retrieval Nets for Heuristic Lexicalization in Natural Language Generation. In: Bento, C., Cardoso, A., Dias, G. (eds.) EPIA 2005. LNCS (LNAI), vol. 3808. Springer, Heidelberg (2005)
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)
Lin, D.: Dependency-based evaluation of MINIPAR. In: Proc. of Workshop on the Evaluation of Parsing Systems, Granada, Spain (May 1998)
Meteer, M.W.: The generation gap: the problem of expressibility in text planning. Ph.D thesis, Amherst, MA, USA (1990)
McRoy, S., Channarukul, S., Ali, S.: A Natural Language Generation Component for Dialog Systems. In: Cox, M. (ed.) Working Notes of the AAAI Workshop on Mixed-Initiative Intelligence (AAAI 1999) (1999)
Schank, R.: Conceptual Information Processing. Elsevier Science Inc., New York (1975)
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. (2006). Case-Based Reasoning for Knowledge-Intensive Template Selection During Text Generation. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds) Advances in Case-Based Reasoning. ECCBR 2006. Lecture Notes in Computer Science(), vol 4106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11805816_13
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DOI: https://doi.org/10.1007/11805816_13
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