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Augmenting the User’s Knowledge via Comparison

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Book cover User Modeling

Part of the book series: International Centre for Mechanical Sciences ((CISM,volume 383))

Abstract

The process of learning is an incremental exploration of a domain; we do not learn the concepts in a domain in an isolated manner, but instead augment our existing knowledge with new concepts. Consequently, when teaching a new concept to a student, her existing knowledge should be employed in a way which facilitates the process of learning. In describing a new concept to a hearer, it is often beneficial to compare the concept to other concepts with which the hearer is familiar. In particular, comparisons are often used in descriptions in order to reduce the cognitive load on the hearer. This paper outlines three types of comparison found in encyclopaedia descriptions, and describes how a model of the user’s knowledge can be employed to produce descriptions which introduce new concepts by comparison, thus grounding descriptions in the hearer’s existing knowledge. The results are illustrated in the peba-ii natural language generation system.

Thanks to Robert Dale, Eric Horvitz, Mike Johnson, Cécile Paris and the members of mri for useful

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References

  • Dale, R., and Milosavljevic, M. (1996). Authoring on demand: Natural language generation of hypermedia documents. In Proceedings of the First Australian Document Computing Symposium (ADCS’96). Melbourne, Australia.

    Google Scholar 

  • Dale, R., Milosavljevic, M., and Oberlander, J. (1997). The web as dialogue: The role of natural language generation in hypertext. In Proceedings of the AAAI Spring Symposium on Natural Language Processing for the World Wide Web, 35–43. Stanford University, California.

    Google Scholar 

  • Encyclopaedia Britannica. (1996). Copyright ©1996 Encyclopaedia Britannica, Inc.

    Google Scholar 

  • McCoy, K. F. (1995). Generating context-sensitive responses to object-related misconceptions. Artificial Intelligence 41:157–195.

    Article  Google Scholar 

  • McKeown, K. R. (1985). Discourse strategies for generating natural-language text. Artificial Intelligence 27:1–41.

    Article  Google Scholar 

  • Microsoft (R) Encarta’95 Encyclopedia. (1995). Copyright ©1994 Microsoft Corporation. Copyright © 1994 Funk and Wagnall’s Corporation.

    Google Scholar 

  • Milosavljevic, M. (1996). Introducing new concepts via comparison: A new look at user modeling in text generation. In Proceedings of the Fifth International Conference on User Modeling, Doctoral Consortium, 228–230.

    Google Scholar 

  • Milosavljevic, M., and Dale, R. (1996). Strategies for comparison in encyclopaedia descriptions. In Proceedings of the 8th International Workshop on Natural Language Generation, 161–170. Sussex, UK.

    Google Scholar 

  • Milosavljevic, M., Tulloch, A., and Dale, R. (1996). Text generation in a dynamic hypertext environment. In Proceedings of the Nineteenth Australasian Computer Science Conference, 417–426. Melbourne, Australia.

    Google Scholar 

  • Milosavljevic, M. (1997). Content selection in comparison generation. In Proceedings of the Sixth European Workshop on Natural Language Generation. Duisburg, Germany.

    Google Scholar 

  • Moore, J. D. (1989). A Reactive Approach to Explanation in Expert and Advice-Giving Systems. Ph.D. Dissertation, University of California, Los Angeles.

    Google Scholar 

  • Moore, J. D. (1995). Participating in Explanatory Dialogs: Interpreting and Responding to Questions in Context. Cambridge, MA: MIT Press.

    Google Scholar 

  • Paris, C. L. (1987). The Use of Explicit User Models in Text Generation: Tailoring to a User’s Level of Expertise. Ph.D. Dissertation, Columbia University.

    Google Scholar 

  • Paris, C. L. (1993). User Modeling in Text Generation. London: Pinter Publishers.

    Google Scholar 

  • The Australian A-Z Animal Archive. (1996). http://www.aaa.com.au/A_Z/Home.html

  • The New Grolier Multimedia Encyclopedia. (1992). ©Grolier Incorporated, © 1987–1992 Online Computer Systems, Inc.

    Google Scholar 

  • Tversky, A. (1977). Features of similarity. Psychological Review 84:327–352.

    Article  Google Scholar 

  • Zukerman, I., and McConachy, R. (1993). Generating concise discourse that addresses a user’s inferences. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, 1202–1207. Chambery, France.

    Google Scholar 

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© 1997 Springer-Verlag Wien

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Milosavljevic, M. (1997). Augmenting the User’s Knowledge via Comparison. In: Jameson, A., Paris, C., Tasso, C. (eds) User Modeling. International Centre for Mechanical Sciences, vol 383. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2670-7_15

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  • DOI: https://doi.org/10.1007/978-3-7091-2670-7_15

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82906-6

  • Online ISBN: 978-3-7091-2670-7

  • eBook Packages: Springer Book Archive

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