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

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.