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Stop PropagHate at SemEval-2019 Tasks 5 and 6: Are abusive language classification results reproducible?

, , and . SemEval@NAACL-HLT, page 745-752. Association for Computational Linguistics, (2019)

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Toxic, Hateful, Offensive or Abusive? What Are We Really Classifying? An Empirical Analysis of Hate Speech Datasets., , and . LREC, page 6786-6794. European Language Resources Association, (2020)PyToBI: A Toolkit for ToBI Labeling Under Python., , and . INTERSPEECH, page 3675-3676. ISCA, (2019)User Identity Linkage in Social Media Using Linguistic and Social Interaction Features., , , , , and . WebSci, page 295-304. ACM, (2020)Feature engineering for author profiling and identification: on the relevance of syntax and discourse.. Pompeu Fabra University, Spain, (2017)Automatic Identification of Texts Written by Authors with Alzheimer's Disease., and . CogSci, cognitivesciencesociety.org, (2018)A Semi-Supervised Approach for Gender Identification., and . LREC, European Language Resources Association (ELRA), (2016)On the Relevance of Syntactic and Discourse Features for Author Profiling and Identification., and . EACL (2), page 681-687. Association for Computational Linguistics, (2017)ThemePro: A Toolkit for the Analysis of Thematic Progression., , and . LREC, page 1000-1007. European Language Resources Association, (2020)Evaluating Content-Independent Features for Personality Recognition., , and . WCPR@MM, page 7-10. ACM, (2014)Automatic Classification and Linguistic Analysis of Extremist Online Material., and . MMM (2), volume 11296 of Lecture Notes in Computer Science, page 577-582. Springer, (2019)