How near-duplicate detection improves editors' and authors' publishing experience
Autor: | Kashnitsky, Yury, Kandala, Vaishnavi, van Wezenbeek, Egbert, Aalbersberg, IJsbrand Jan, Fennell, Catriona, Tsatsaronis, Georgios |
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Rok vydání: | 2021 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | We describe a system that helps identify manuscripts submitted to multiple journals at the same time. Also, we discuss potential applications of the near-duplicate detection technology when run with manuscript text content, including identification of simultaneous submissions, prevention of duplicate published articles, and improving article transfer service. Comment: short paper, 2 pages, 1 figure, presented at Computational Research Integrity 2021 conference |
Databáze: | arXiv |
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