SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)

03/19/2019

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by   Marcos Zampieri, et al.

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This paper presents the results and main findings of the shared task on Identifying and Categorizing Offensive Language in Social Media (OffensEval). SemEval-2019 Task 6 provided participants with an annotated dataset containing English tweets. The competition was divided into three sub-tasks. In sub-task A systems were trained to discriminate between offensive and non-offensive tweets, in sub-task B systems were trained to identify the type of offensive content in the post, and finally, in sub-task C systems were trained to identify the target of offensive posts. OffensEval attracted a large number of participants and it was one of the most popular tasks in SemEval 2019. In total, nearly 800 teams signed up to participate in the task and 115 of them submitted results which are presented and analyzed in this report.