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Features selection of high quality essays in automated essay scoring system

机译:在自动作文评分系统中选择高质量的作文

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In this paper, we analyze some essays of Chinese English learners, and text features such as words, phrases, paragraphs, and chapters. According to the correlation between the scores and these features, we do multiple regression analysis based on the feature recombination and extract the feature sets that high quality essays should be with. In the end, we build a reasonable model to distinguish high quality essays from others and effectively solve the problem of low differentiation scores in automated essay scoring system.
机译:在本文中,我们分析了一些中国英语学习者的文章以及诸如单词,短语,段落和章节之类的文本特征。根据分数与这些特征之间的相关性,我们基于特征重组进行多元回归分析,并提取高质量论文应具有的特征集。最后,我们建立了一个合理的模型来区分高质量的论文和其他论文,并有效地解决了自动论文评分系统中差异化分数较低的问题。

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