Using Natural Language to Represent Knowledge in an Intelligent Tutoring System

被引：0
|
作者：
Jung, Sung-Young [1 ]
机构：
[1] Univ Pittsburgh, Intelligent Syst Program, Pittsburgh, PA 15260 USA
来源：
K-CAP'09: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON KNOWLEDGE CAPTURE | 2009年
关键词：
Authoring System; Knowledge acquisition from natural language; Natural language understanding;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Developing intelligent tutoring systems (ITS) for a target domain includes authoring tasks requiring long time and efforts. Letting authors use natural language to represent various kinds of knowledge is a way that any authors can add and update knowledge easily. An authoring system acquiring knowledge represented in natural language for an equation-based tutor (Pyrenees) is presented in this paper. This authoring system was designed to acquire not only problem statements, but also commonsense and domain knowledge in natural language from authors.
引用
收藏
页码：191 / 192
页数：2
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