Abstract
We describe a mechanism which recognizes a user’s intentions from short-form rejoinders to arguments generated from Bayesian networks. The mechanism builds candidate reasoning paths that link the user’s rejoinder with a previously presented argument, and considers the following factors to select a path: linguistic clues, the impact of the user’s rejoinder on the system’s argument along the different paths, the user’s attentional focus, and the system’s confidence in its representation of the user’s beliefs. The results of our preliminary evaluation indicate that the interpretations produced by our mechanism are generally appropriate.
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References
J.R. Anderson. The Architecture of Cognition. Harvard University Press, Cambridge, Massachusetts, 1983.
Sandra Carberry and Lynn Lambert. A process model for recognizing communicative acts and modeling negotiation subdialogues. Computational Linguistics, 25(1):1–53, 1999.
Eugene Charniak and Robert P. Goldman. A Bayesian model of plan recognition. Artificial Intelligence, 64(1):50–56, 1993.
Margot Flowers, Rod McGuire, and Lawrence Birnbaum. Adversary arguments and the logic of personal attack. In Strategies for Natural Language Processing, pages 275–294. Lawrence Erlbaum Associates, Hillsdale, New Jersey, 1982.
David Heckerman and Eric Horvitz. Inferring informational goals from free-text queries: A Bayesian approach. In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pages 230–237, Madison, Wisconsin, 1998.
Nathalie Jitnah, Ingrid Zukerman, Richard McConachy, and Sarah George. Towards the generation of rebuttals in a Bayesian argumentation system. In Proceedings of the International Natural Language Generation Conference, Mitzpe Ramon, Israel, 2000.
R. McConachy, K. B. Korb, and I. Zukerman. Deciding what not to say: An attentional-probabilistic approach to argument presentation. In Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, pages 669–674, Madison, Wisconsin, 1998.
Judea Pearl. Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann Publishers, San Mateo, California, 1988.
Alex Quilici. Arguing about planning alternatives. In COLING-92 — Proceedings of the Fourteenth International Conference on Computational Linguistics, pages 906–910, Nantes, France, 1992.
A. Restificar, A. Syed, and S. McRoy. Arguer: Using argument schemas for argument detection and rebuttal in dialogs. In UM99 — Proceedings of the Seventh International Conference on User Modeling, pages 315–317, Banff, Canada, 1999.
Ingrid Zukerman, Richard McConachy, and Kevin B. Korb. Bayesian reasoning in an abductive mechanism for argument generation and analysis. In AAAI98’ Proceedings of the Fifteenth National Conference on Artificial Intelligence, pages 833–838, Madison, Wisconsin, 1998.
Ingrid Zukerman, Richard McConachy, Kevin B. Korb, and Deborah A. Pickett. Exploratory interaction with a Bayesian argumentation system. In IJCAI99 — Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, pages 1294–1299, Stockholm, Sweden, 1999.
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Zukerman, I., Jitnah, N., McConachy, R., George, S. (2000). Recognizing Intentions from Rejoinders in a Bayesian Interactive Argumentation System. In: Mizoguchi, R., Slaney, J. (eds) PRICAI 2000 Topics in Artificial Intelligence. PRICAI 2000. Lecture Notes in Computer Science(), vol 1886. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44533-1_28
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DOI: https://doi.org/10.1007/3-540-44533-1_28
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