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A predictive approach for the generation of rhetorical devices
Author(s) -
ZUKERMAN INGRID
Publication year - 1990
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/j.1467-8640.1990.tb00127.x
Subject(s) - rhetorical question , rhetorical device , computer science , comprehension , class (philosophy) , testbed , artificial intelligence , natural language processing , linguistics , rhetorical modes , domain (mathematical analysis) , human–computer interaction , programming language , world wide web , mathematics , mathematical analysis , philosophy
Human discourse is fraught with rhetorical devices such as contradictions, illustrations, and analogies. These rhetorical devices carry important information which a listener uses to speed up the comprehension process. In this paper, we present a taxonomy of rhetorical devices commonly used in tutoring environment, and model the meaning of a class of rhetorical devices in terms of their anticipated effect on a listener's knowledge. These predictions are then used in planning computer‐generated discourse. As a testbed for our ideas, a system called WISHFUL is being implemented to generate commentaries in the domain of high‐school algebra within the framework of an intelligent tutoring system.

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