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