E91-1021 describes the overall framework for explanation generation . This is followed by a brief
J97-1004 success , empirical results in explanation generation are limited . Although techniques
H93-1032 many knowledge sources affecting explanation generation . <title> Generic Plan Recognition
J97-1004 structured as follows : The task of explanation generation is characterized and the Biology
J95-3007 general theoretical principles for explanation generation with the development of a particular
C96-2174 them for automatic recovery and explanation generation . While introspection and observation
C92-2093 particularly useful in causal explanation generation because concepts involved are
J93-4004 Planning Mechanism An overview of the explanation generation facility and its relation to
J97-1004 seven-year effort to empirically study explanation generation from semantically rich , large-scale
J86-1012 generation " that forms the basis for explanation generation in XSEL . It is widely recognized
J94-1009 its contributions to flexible explanation generation and in its treatment of previous
J97-1004 knowledge bases . To empirically study explanation generation from semantically rich , large-scale
J97-1004 and physiological processes . Explanation generation is typically decomposed into
J97-1004 empirical study , but no work in explanation generation has been conducted or empirically
J97-1004 Task of Explanation Generation Explanation generation is the task of extracting information
J97-1004 research directions . 2 . The Task of Explanation Generation Explanation generation is the
E91-1021 starting point for exploring how explanation generation may take into account possible
C90-1006 logic-based modeling and encoding , and explanation generation based on proof trees . The Problem
J87-3014 question types and to expert system explanation generation in general . User Modeling Bibliography
C90-3062 interactive/repair based approach to explanation generation proved use - ful . Future work
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