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The TALP-UPC Approach to System Selection: Asiya Features and Pairwise Classification Using Random Forests., , , , and . WMT@ACL, page 359-364. The Association for Computer Linguistics, (2013)IPA and STOUT: Leveraging Linguistic and Source-based Features for Machine Translation Evaluation., , and . WMT@ACL, page 394-401. The Association for Computer Linguistics, (2014)UPC-CORE: What Can Machine Translation Evaluation Metrics and Wikipedia Do for Estimating Semantic Textual Similarity?, , , , and . *SEM@NAACL-HLT, page 143-147. Association for Computational Linguistics, (2013)Cross-Language Source Code Re-Use Detection Using Latent Semantic Analysis., , , and . J. UCS, 21 (13): 1708-1725 (2015)Team Jack Ryder at SemEval-2019 Task 4: Using BERT Representations for Detecting Hyperpartisan News., , , and . SemEval@NAACL-HLT, page 1012-1015. Association for Computational Linguistics, (2019)DeSoCoRe: Detecting Source Code Re-Use across Programming Languages., , , and . HLT-NAACL, page 1-4. The Association for Computational Linguistics, (2012)Qlusty: Quick and Dirty Generation of Event Videos from Written Media Coverage., , , , and . NewsIR@ECIR, volume 2079 of CEUR Workshop Proceedings, page 27-32. CEUR-WS.org, (2018)Methods for cross-language plagiarism detection., , and . Knowl.-Based Syst., (2013)Overview of the 2nd International Competition on Plagiarism Detection., , , , and . CLEF (Notebook Papers/LABs/Workshops), volume 1176 of CEUR Workshop Proceedings, CEUR-WS.org, (2010)An Evaluation Framework for Plagiarism Detection., , , and . COLING (Posters), page 997-1005. Chinese Information Processing Society of China, (2010)