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The task involves three subtasks corresponding to the hierarchical taxonomy of the OLID schema (Zampieri et al., 2019) from OffensEval 2019. The task featured five languages and this upload is for the English language. In addition, English also featured Subtasks B and C. OffensEval 2020 was one of the most popular tasks at SemEval-2020 attracting a large number of participants across all subtasks and also across all languages. A total of 528 teams signed up to participate in the task, 145 teams submitted systems during the evaluation period, and 70 submitted system description papers. This upload includes a test set used in the paper describing the dataset used in the shared task as well as the official test set used in the shared task. The evaluation phase for English is available on Codalab: https://competitions.codalab.org/competitions/23285 The Website for the shared task is https://sites.google.com/site/offensevalsharedtask/home
{"references": ["Rosenthal, Sara, et al. \"A large-scale semi-supervised dataset for offensive language identification.\" arXiv preprint arXiv:2004.14454 (2020).", "Zampieri, Marcos, et al. \"SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020).\" arXiv preprint arXiv:2006.07235 (2020)."]}
tweet, offensive, English, SemEval-2020, semi-supervised, NLP
tweet, offensive, English, SemEval-2020, semi-supervised, NLP
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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