Tailoring the Content of Dynamically Generated Explanations

  • Kalina Bontcheva
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2109)


This paper describes briefly an approach for tailoring the content of automatically generated hypertext explanations. The implemented pilot system hylite+ has a dynamically updated user model, which is used by the language generation modules to adapt the explanations to the user beliefs and preferences. The goal is to provide sufficiently detailed information which, on one hand helps the user by explaining the unknown terms, and on the other, avoids repeating already known facts.


Natural Language Generation Unknown Term Relevant Proposition Tape Drive Incorrect Belief 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Kalina Bontcheva
    • 1
  1. 1.University of SheffieldSheffieldUK

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