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Research on Normalization Detection Method of Academic Papers based on Document Rule Tree

机译:基于文件规则树的学术论文标准化检测方法研究

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Academic papers is an important means to test students’ mastery of basic knowledge and professional ability. The quality of academic papers, on the one hand, is relected by the innovation and prefessionalism of content. On the other hand, the normalization of documents is an important index. In order to solve the problem of low efficiency that the paper standardization inspection is basically completed by manual work. This paper proposes an automatic detection framework based on document rule tree (DRT) and can solve the problem well. The practical application results show that good results have been achieved in terms of accuracy and query efficiency.
机译:学术论文是测试学生对基本知识和专业能力掌握的重要手段。 一方面,学术论文的质量被内容的创新和专业主义所关心。 另一方面,文件的正常化是一个重要指标。 为了解决纸张标准化检查基本上通过手动工作完成的低效率的问题。 本文提出了一种基于文档规则树(DRT)的自动检测框架,可以妥善解决问题。 实际应用结果表明,在准确性和查询效率方面取得了良好的结果。

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