Using Sentence Similarity Measure for Plagiarism Source Retrieval

Authors

Sochenkov I. Zubarev D.

Annotation

This paper describes a method that was implemented in the software submitted to PAN 2014 competition for the source retrieval task. For generating queries we use the most important noun phrases and words of sentences selected from a given suspicious document. To download documents that are likely to be sources of plagiarism we employ a sentence similarity measure.

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External links

Download PDF or read online at ResearchGate: https://www.researchgate.net/publication/330401166_PARAPHRASED_PLAGIARISM_DETECTION_USING_SENTENCE_SIMILARITY

Semantic Scholar: https://api.semanticscholar.org/CorpusID:15149652

Reference link

Zubarev, D., Sochenkov, I. Using Sentence Similarity Measure for Plagiarism Source Retrieval — Notebook for PAN at CLEF 2014. In: CEUR Workshop Proceedings, CEUR-WS.org, Eds. L. Cappellato, N. Ferro, M. Halvey and W. Kraaij. 2014. P.p. 1027–1034, (дата обращения 22.09.2014)