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Automatic Detection of Generated Text is Easiest when Humans are Fooled.

, , , and . ACL, page 1808-1822. Association for Computational Linguistics, (2020)

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Findings of the 2011 Workshop on Statistical Machine Translation., , , and . WMT@EMNLP, page 22-64. Association for Computational Linguistics, (2011)Findings of the 2009 Workshop on Statistical Machine Translation., , , and . WMT@EACL, page 1-28. Association for Computational Linguistics, (2009)PPDB: The Paraphrase Database, , and . Proceedings of NAACL-HLT, page 758--764. Atlanta, Georgia, Association for Computational Linguistics, (June 2013)Arabic dialect identification, and . Computational Linguistics, 40 (1): 171--202 (2014)A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic., and . LREC, page 241-245. European Language Resources Association (ELRA), (2014)Learning Interpretable Style Embeddings via Prompting LLMs., , and . CoRR, (2023)ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer., , , , and . AAAI, page 18216-18224. AAAI Press, (2024)Mapping the Paraphrase Database to WordNet., , and . *SEM, page 84-90. Association for Computational Linguistics, (2017)Representation of Lexical Stylistic Features in Language Models' Embedding Space., , and . *SEM@ACL, page 370-387. Association for Computational Linguistics, (2023)Tense Manages to Predict Implicative Behavior in Verbs., and . EMNLP, page 2225-2229. The Association for Computational Linguistics, (2016)