Design of a tool for checking academic integrity and content consistency of paper abstracts

Yang Yu; Ning Li

doi:10.1117/12.2631139

18 March 2022 Design of a tool for checking academic integrity and content consistency of paper abstracts

Yang Yu, Ning Li

Proceedings Volume 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021); 121681F (2022) https://doi.org/10.1117/12.2631139
Event: International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2021, Harbin, China

Abstract

To save costs of manual reviewing, a tool was designed for automatically checking academic integrity and content consistency of abstracts through analyzing the academic problems of abstracts from multi-dimensional testing indicators. First of all, the recognition of abstract knowledge elements can be achieved with the help of the Naive Bayes algorithm and the posterior probability correction method. On this basis, the consistency between the abstract and the text can be checked in combination with semantic matching and knowledge element matching. As can be seen from the experimental results, the F value of the model can reach 0.85 in the academic integrity checking of abstracts. At the same time, the checking granularity is refined to effectively distinguish the abstracts of varying quality.

Citation Download Citation

Yang Yu and Ning Li "Design of a tool for checking academic integrity and content consistency of paper abstracts", Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 121681F (18 March 2022); https://doi.org/10.1117/12.2631139

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