Abstract
We describe an argument-interpretation mechanism based on the Minimum Message Length Principle [1], and investigate the incorporation of a model of the user’s beliefs into this mechanism. Our system receives as input an argument entered through a web interface, and produces an interpretation in terms of its underlying knowledge representation — a Bayesian network. This interpretation may differ from the user’s argument in its structure and in its beliefs in the argument propositions. The results of our evaluation are encouraging, with the system generally producing plausible interpretations of users’ arguments.
This research was supported in part by Australian Research Council grant A49927212.
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© 2003 Springer-Verlag Berlin Heidelberg
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Zukerman, I., George, S., George, M. (2003). Incorporating a User Model into an Information Theoretic Framework for Argument Interpretation. In: Brusilovsky, P., Corbett, A., de Rosis, F. (eds) User Modeling 2003. UM 2003. Lecture Notes in Computer Science(), vol 2702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44963-9_15
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DOI: https://doi.org/10.1007/3-540-44963-9_15
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