A Study of Reuse and Plagiarism in LREC papers
Gil Francopoulo, Joseph Mariani, Patrick Paroubek · 2016
The aim of this experiment is to present an easy way to compare fragments of texts in order to detect (supposed) results of copy & paste operations between articles in the domain of Natural Language Processing (NLP).The search space of the comparisons is a corpus labeled as NLP4NLP gathering a large part of the NLP field.The study is centered on LREC papers in both directions, first with an LREC paper borrowing a fragment of text from the collection, and secondly in the reverse direction with fragments of LREC documents borrowed and inserted in the collection.