A hybrid ontology directed feedback selection algorithm for supporting creative problem solving dialogues

Hao Chuan Wang, Rohit Kumar, Carolyn Penstein Rosé, Tsai Yen Li, Chun-Yen Chang

研究成果: 雜誌貢獻會議論文同行評審

2 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)1750-1755
頁數6
期刊IJCAI International Joint Conference on Artificial Intelligence
出版狀態已發佈 - 2007 十二月 1
事件20th International Joint Conference on Artificial Intelligence, IJCAI 2007 - Hyderabad, 印度
持續時間: 2007 一月 62007 一月 12

ASJC Scopus subject areas

  • 人工智慧

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