Abstract
In this paper, an adaptive natural language dialog model for Web-based cooperative interactions is proposed to improve the results in achieving a successful filtered search on the Web. The underlying principle, based on automatically generating language-driven interactions which take into account the context and the user’s feedback is discussed. The preliminary working design and experiments, and the results of some real evaluations are also highlighted.
This research is sponsored by the National Council for Scientific and Technological Research (FONDECYT, Chile) under grant number 1040500 “Effective Corrective-Feedback Strategies in Second Language Teaching with Implications for Intelligent Tutorial Systems for Foreign Languages.”
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References
Atkinson, J., Ferreira, A.: The design and implementation of the gilena natural language interface specification language. ACM SIGPLAN 33(9), 108–117 (1998)
Bloedorn, E., Mani, I.: Using NLP for machine learning of user profiles. Intelligent Data Analysis (1998)
Chu-Carroll, J.: Mimic: an adaptive mixed initiative spoken dialogue system for informatio n queries. In: Proceedings of the 6th Conference on Applied Natural Language Processing, Seattle, USA (2000)
Cohen, P., Levesque, H.: Performatives in a rationally based speech act theory. Technical Note 486, SRI International (1990)
Grice, H.: Logic and conversation. In: Syntax and Semantics. Cole Morgan, San Francisco (1975)
Jurafsky, D., Martin, J.: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall, Englewood Cliffs (2000)
Levy, A., Weld, D.: Intelligent internet systems. Artificial Intelligence 11(8), 1–14 (2000)
Reiter, E., Dale, R.: Building natural language generation systems. Cambridge University Press, Cambridge (2000)
Tong, L., Changjie, T., Jie, Z.: Web document filtering technique based on natural language understanding. International Journal of Computer Processing of Oriental Languages 14(3), 279–291 (2001)
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© 2005 Springer-Verlag Berlin Heidelberg
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Ferreira-Cabrera, A., Atkinson-Abutridy, J.A. (2005). Towards Effective Adaptive Information Filtering Using Natural Language Dialogs and Search-Driven Agents. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_40
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DOI: https://doi.org/10.1007/11504894_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26551-1
Online ISBN: 978-3-540-31893-4
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