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Team DiSaster at SemEval-2020 Task 11: Combining BERT and Hand-crafted Features for Identifying Propaganda Techniques in News., , and . SemEval@COLING, page 1817-1822. International Committee for Computational Linguistics, (2020)Grammar-driven versus data-driven: which parsing system is more affected by domain shifts?, and . Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground, page 25--33. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?, , , and . CoRR, (2023)What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects., , , and . CoRR, (2024)More or less supervised supersense tagging of Twitter., , , , and . *SEM@COLING, page 1-11. The *SEM 2014 Organizing Committee, (2014)Selection Bias, Label Bias, and Bias in Ground Truth., , and . COLING (Tutorials), page 11-13. ACL, (2014)Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat., , , , , , and . NAACL-HLT (1), page 2578-2587. Association for Computational Linguistics, (2019)Spectral Probing., , and . EMNLP, page 7730-7741. Association for Computational Linguistics, (2022)At a Glance: The Impact of Gaze Aggregation Views on Syntactic Tagging., and . LANTERN@EMNLP-IJCNLP, page 51-61. Association for Computational Linguistics, (2019)The "Problem" of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation.. EMNLP, page 10671-10682. Association for Computational Linguistics, (2022)