3 papers
cs.CL2017
Deep Investigation of Cross-Language Plagiarism Detection Methods
Jeremy Ferrero, Laurent Besacier, Didier Schwab +1
This paper is a deep investigation of cross-language plagiarism detection methods on a new recently introduced open dataset, which contains parallel and comparable collections of d…
cs.CL2017
CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity
Jeremy Ferrero, Frederic Agnes, Laurent Besacier +1
We present our submitted systems for Semantic Textual Similarity (STS) Track 4 at SemEval-2017. Given a pair of Spanish-English sentences, each system must estimate their semantic…
cs.CL2017
UsingWord Embedding for Cross-Language Plagiarism Detection
J. Ferrero, F. Agnes, L. Besacier +1
This paper proposes to use distributed representation of words (word embeddings) in cross-language textual similarity detection. The main contributions of this paper are the follow…