Abstract
This paper describes an ongoing work on the generation and the automatic evaluation of trivial dialogue phrases. The described system uses a genetic algorithm (GA)-like transfer approach and n-grams frequency information obtained from the Web in order to automatically generate and evaluate phrases. The experiments present promising results, showing to achieve 78.51% of the user understandability of the generated and evaluated good phrases for English, and 79.06% for Spanish, and indicating the portability of the approach.
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References
Zue, V., Seneff, S., Glass, J., Polifroni, J., Pao, C., Hazen, T.J., Hetherington, L.: Jupiter: A telephone-based conversational interface for weather information. IEEE Transactions on Speech and Audio Processing 8, 85–96 (2000)
Bratt, H., Dowding, J., Hunicke-Smith, K.: The SRI telephone-based ATIS system. In: Proceedings of the ARPA Spoken Language System Technology Workshop, pp. 22–25 (1995)
Lau, R., Flammia, G., Pao, C., Zue, V.: Webgalaxy: Beyond point and click - a conversational interface to a browser. In: Proceedings of the 6th International WWW Conference, pp. 119–128 (1997)
University of Texas at Austin: Smartvoice, http://www.utexas.edu/its/smartvoice/
Weizenbaum, J.: Eliza a computer program for the study of natural language communication between man and machine. Commun. ACM 9(1), 36–45 (1966)
Inui, N., Koiso, T., Nakamura, J., Kotani, Y.: Fully corpus-based natural language dialogue system. In: Natural Language Generation in Spoken and Written Dialogue, AAAI Spring Symposium (2003)
Wallace, R.: A.L.I.C.E. Artificial Intelligence Foundation (2005), http://www.alicebot.org
Carpenter, R.: Jabberwacky. Learning Artificial Intelligence, http://www.jabberwacky.com , http://www.icogno.com/
Losee, R.M.: Learning syntactic rules and tags with genetic algorithms for information retrieval and filtering: An empirical basis for grammatical rules. Information Processing & Management 32(2), 185–197 (1996)
Blasband, M.: GAG: Genetic Algorithms for Grammars (the sex life of grammars). Technical report, Compuleer (1998)
Kool, A.: Literature survey (1999), http://citeseer.ist.psu.edu/kool99literature.html
Arendse, B.: Easyenglish: Preprocessing for MT. In: Proceedings of the Second International Workshop on Controlled Language Applications (CLAW 1998), pp. 30–41 (1998)
USC.: Dialogue Diversity Corpus (2005), http://www-rcf.usc.edu/~billmann/diversity/DDivers-site.htm
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Montero, C.S., Araki, K. (2007). Unsupervised Language Independent Genetic Algorithm Approach to Trivial Dialogue Phrase Generation and Evaluation. In: Kedad, Z., Lammari, N., Métais, E., Meziane, F., Rezgui, Y. (eds) Natural Language Processing and Information Systems. NLDB 2007. Lecture Notes in Computer Science, vol 4592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73351-5_35
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DOI: https://doi.org/10.1007/978-3-540-73351-5_35
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