publication . Part of book or chapter of book . 2013

Knowledge Graphs as Context Models: Improving the Detection of Cross-Language Plagiarism with Paraphrasing

Marc Franco-Salvador; Parth Gupta; Paolo Rosso;
Open Access English
  • Published: 01 Jan 2013
  • Publisher: Springer Verlag (Germany)
  • Country: Spain
Abstract
Cross-language plagiarism detection attempts to identify and extract automatically plagiarism among documents in different languages. Plagiarized fragments can be translated verbatim copies or may alter their structure to hide the copying, which is known as paraphrasing and is more difficult to detect. In order to improve the paraphrasing detection, we use a knowledge graph-based approach to obtain and compare context models of document fragments in different languages. Experimental results in German-English and Spanish-English cross-language plagiarism detection indicate that our knowledge graph-based approach offers a better performance compared to other state...
Subjects
free text keywords: Cross-language plagiarism detection, Textual similarity, Paraphrasing, Knowledge graphs, BabelNet, LENGUAJES Y SISTEMAS INFORMATICOS, Information retrieval, Plagiarism detection, Computer science, Artificial intelligence, business.industry, business, Natural language processing, computer.software_genre, computer, Copying, Knowledge graph
Related Organizations
Funded by
EC| WIQ-EI
Project
WIQ-EI
Web Information Quality Evaluation Initiative
  • Funder: European Commission (EC)
  • Project Code: 269180
  • Funding stream: FP7 | SP3 | PEOPLE
Communities
Digital Humanities and Cultural Heritage
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publication . Part of book or chapter of book . 2013

Knowledge Graphs as Context Models: Improving the Detection of Cross-Language Plagiarism with Paraphrasing

Marc Franco-Salvador; Parth Gupta; Paolo Rosso;