arXiv中的剽窃检测
Plagiarism Detection in arXiv
摘要：
我们描述了一个大规模的应用程序的方法，发现剽窃的研究文件集。这些方法被应用于arXiv.org在14年内收集的284，834份文件，涵盖了几个不同的研究学科。该方法有效地检测出各种有问题的作者行为，并开发了自动识别以减少误报的数量。这些方法也足够有效，可以实现为一个大很多倍的集合的实时提交屏幕。
英文摘要：
We describe a large-scale application of methods for finding plagiarism in research document collections. The methods are applied to a collection of 284,834 documents collected by arXiv.org over a 14 year period, covering a few different research disciplines. The methodology efficiently detects a variety of problematic author behaviors, and heuristics are developed to reduce the number of false positives. The methods are also efficient enough to implement as a real-time submission screen for a collection many times larger.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
