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    政大機構典藏 > 理學院 > 資訊科學系 > 會議論文 >  Item 140.119/23818
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/23818

    Title: Hydrangea: A Hybrid Ontology Directed Feedback Generation Algorithm for Supporting Creative Problem Solving Dialogues
    Authors: H. C. Wang;R. Kumar;C. Roseacute;李蔡彥;C. Y. Chang
    Li, Tsai-Yen
    Contributors: IJCAI
    Date: 2007-01
    Issue Date: 2009-01-09 16:46:06 (UTC+8)
    Abstract: We evaluate a new hybrid language processing approach designed for interactive applications that maintain an interaction with users over multiple turns. Specifically, we describe a method for using a simple topic hierarchy in combination with a standard information retrieval measure of semantic similarity to reason about the selection of appropriate feedback in response to extended language inputs in the context of an interactive tutorial system designed to support creative problem solving. Our evaluation demonstrates the value of using a machine learning approach that takes feedback from experts into account for optimizing the hierarchy based feedback selection strategy.
    Relation: Proceedings of International Joint Conference on Artificial Intelligence (IJCAI2007)
    Data Type: conference
    Appears in Collections:[資訊科學系] 會議論文

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