Using Sentence Similarity Measure for Plagiarism Source Retrieval

Авторы

Зубарев Д. В. Соченков И. В.

Аннотация

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.

Документы

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Внешние ссылки

РИНЦ: https://www.elibrary.ru/item.asp?id=27137267

Скачать PDF или читать онлайн на ResearchGate (на англ.): https://www.researchgate.net/publication/330401166_PARAPHRASED_PLAGIARISM_DETECTION_USING_SENTENCE_SIMILARITY

Скачать PDF на Semantic Scholar (на англ.): https://api.semanticscholar.org/CorpusID:15149652

Ссылка при цитировании

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)