Paraphrase type identification for plagiarism detection using contexts and word embeddings

International Journal of Educational Technology in Higher Education

Mark Stevenson¹  Paul Clough²  Faisal Alvi³ 

[1] Department of Computer Science, University of Sheffield;Information School, University of Sheffield;Information and Computer Science Department, King Fahd University of Petroleum and Minerals;

关键词: Plagiarism;    Plagiarism detection;    Paraphrase types;    Synonymous substitution;    Word reordering;    Context matching;   

DOI  :  10.1186/s41239-021-00277-8

来源: DOAJ

【 摘 要 】

Abstract Paraphrase types have been proposed by researchers as the paraphrasing mechanisms underlying acts of plagiarism. Synonymous substitution, word reordering and insertion/deletion have been identified as some of the common paraphrasing strategies used by plagiarists. However, similarity reports generated by most plagiarism detection systems provide a similarity score and produce matching sections of text with their possible sources. In this research we propose methods to identify two important paraphrase types – synonymous substitution and word reordering in paraphrased, plagiarised sentence pairs. We propose a three staged approach that uses context matching and pretrained word embeddings for identifying synonymous substitution and word reordering. Our proposed approach indicates that the use of Smith Waterman Algorithm for Plagiarism Detection and ConceptNet Numberbatch pretrained word embeddings produces the best performance in terms of $$\hbox {F}_1$$ F 1 scores. This research can be used to complement similarity reports generated by currently available plagiarism detection systems by incorporating methods to identify paraphrase types for plagiarism detection.

【 授权许可】

Unknown