Supervised ranking for plagiarism Source retrieval: Notebook for PAN at CLEF 2013

Kyle Williams; Hung Hsuan Chen; C. Lee Giles

Supervised ranking for plagiarism Source retrieval: Notebook for PAN at CLEF 2013

Kyle Williams, Hung Hsuan Chen, C. Lee Giles

資訊工程學系

研究成果: 雜誌貢獻 › 會議論文 › 同行評審

9 引文斯高帕斯（Scopus）

摘要

Source retrieval involves making use of a search engine to retrieve candidate sources of plagiarism for a given suspicious document so that more accurate comparisons can be made. We describe a strategy for source retrieval that uses a supervised method to classify and rank search engine results as potential sources of plagiarism without retrieving the documents themselves. Evaluation shows the performance of our approach, which achieved the highest precision (0.57) and F₁ score (0.47) in the 2014 PAN Source Retrieval task.

原文	???core.languages.en_GB???
頁（從 - 到）	1021-1026
頁數	6
期刊	CEUR Workshop Proceedings
卷	1180
出版狀態	已出版 - 2014
事件	2014 Cross Language Evaluation Forum Conference, CLEF 2014 - Sheffield, United Kingdom 持續時間: 15 9月 2014 → 18 9月 2014

引用此

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AB - Source retrieval involves making use of a search engine to retrieve candidate sources of plagiarism for a given suspicious document so that more accurate comparisons can be made. We describe a strategy for source retrieval that uses a supervised method to classify and rank search engine results as potential sources of plagiarism without retrieving the documents themselves. Evaluation shows the performance of our approach, which achieved the highest precision (0.57) and F1 score (0.47) in the 2014 PAN Source Retrieval task.

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Supervised ranking for plagiarism Source retrieval: Notebook for PAN at CLEF 2013

摘要

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