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A Heuristic NLP Based Approach for Getting Didactic Resources from Electronic Documents

机译:一种基于启发式的NLP方法,用于从电子文档获取教学资源

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The development of Computer Supported Learning Systems is a hard task and, therefore, they are not as broadly used as expected yet. Some authors have claimed that tools for generating learning material in automatic or semiautomatic way are needed. This paper describes how didactic resources can be semi automatically generated from electronic documents using ontologies and Natural Language Processing techniques. Gathering atomic didactic resources and combining them is essential to get results that match human instructors' expects. Several didactic resource similarity measuring methods have been implemented and tested.
机译:计算机支持的学习系统的开发是一项艰巨的任务,因此,它们并不像预期的那样广泛使用。有些作者要求提供用于在自动或半自动方式中产生学习材料的工具。本文介绍了如何使用本体和自然语言处理技术从电子文档自动生成的DETCIC资源。收集原子教学资源并结合它们对于获得与人类教练的期望相匹配的结果至关重要。已经实施和测试了几个教学资源相似度测量方法。

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