EXTRACTING INFORMATION FROM NATURAL LANGUAGE INPUT TO AN INTELLIGENT TUTORING SYSTEM
EXTRACTING INFORMATION FROM NATURAL LANGUAGE INPUT TO AN INTELLIGENT TUTORING SYSTEM
复制标题
从自然语言输入中提取信息到智能辅导系统
DOI：
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发表时间：
2008
期刊：
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通讯作者：
M. Evens
中科院分区：
文献类型：
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作者：
Michael Glass;M. Evens
我们构建了一个新的模块来处理学生向CIRCSIM-Tutor输入的自然语言，CIRCSIM-Tutor是一个智能辅导系统，旨在帮助医学生学习解决涉及人体内调节血压的负反馈过程的问题。CIRCSIM-Tutor大部分时间都在与学生进行基于自然语言的对话。新的输入理解使用了一种信息提取方法，该方法足够强大，可以处理自由格式的学生输入。我们描述了拉什医学院42名学生对CIRCSIM-Tutor的评估，特别强调了输入理解者的表现。
We have constructed a new module to process student natural language input to CIRCSIM-Tutor, an intelligent tutoring system designed to help medical students learn to solve problems involving the negative feedback process that regulates blood pressure in the human body. CIRCSIM-Tutor spends most of its time engaging the student in a natural language-based dialogue. The new input understander uses an information extraction approach that is robust enough to handle free- form student input. We describe an evaluation of CIRCSIM-Tutor by forty-two students at Rush Medical College, with particular emphasis on the performance of the input understander.