A Method to Identify Exercises from Web Resources

Xiangdong Che, Yukun Li, Xinzeng Zhang
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Abstract

For teachers and students in school, it's a weighty issue that how to find course exercises with high quality to improve his or her efficiency of learning or teaching. The information in the web, as everyone knows, is complicated and disordered. It's hard to seek what we want in time, not to mention exercises. In this paper, we put forward a method to identify course exercises which is based on unstructured text. In this way, we can extract and integrate related exercise information effectively from the web according to the keywords that we have appointed to serve all teachers and students. The experimental results show the effectiveness of the method we proposed.
从网络资源中识别练习的方法
如何找到高质量的课程习题,提高学生的学习或教学效率,是学校教师和学生面临的一个重要问题。众所周知,网络上的信息是复杂而无序的。要及时找到我们想要的东西是很难的,更不用说锻炼了。本文提出了一种基于非结构化文本的课程习题识别方法。这样,我们就可以根据我们指定的关键词,从网络上有效地提取和整合相关的练习信息,为所有的师生服务。实验结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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