A systematic study of knowledge graph analysis for cross-language plagiarism detection

作者：

Highlights：

• Study of the impact of the implicit aspects of knowledge graphs for cross-language plagiarism detection.

• We present a new weighting scheme for relations between concepts based on distributed representations of concepts.

• We obtain state-of-the-art performance compared to several state-of-the-art models.

摘要

•Study of the impact of the implicit aspects of knowledge graphs for cross-language plagiarism detection.•We present a new weighting scheme for relations between concepts based on distributed representations of concepts.•We obtain state-of-the-art performance compared to several state-of-the-art models.

论文关键词：Cross-language,Plagiarism detection,Knowledge graphs,Multilingual semantic network,Distributed representations,Evaluation

论文评审过程：Received 16 September 2015, Revised 3 December 2015, Accepted 10 December 2015, Available online 15 January 2016, Version of Record 17 May 2016.

论文官网地址：https://doi.org/10.1016/j.ipm.2015.12.004