Work

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

Year: 2019

Type: conference-paper

Abstract: We present the results and the main findings of SemEval-2019 Task 6 on Identifying and Categorizing Offensive Language in Social Media (OffensEval).The task was based on a new dataset, the Offensive Language Identification Dataset (OLID), which contains over 14,000 English tweets.It featured three sub-tasks.In sub-task A, the goal was to discriminate between offensive and non-offensive posts.In sub-task B, the focus was on the type of offensive content in the post.Finally, in sub-task C, systems had to detect the target of the offensive posts.OffensEval attracted a large number of participants and it was one of the most popular tasks in SemEval-2019.In total, about 800 teams signed up to participate in the task, and 115 of them submitted results, which we present and analyze in this report.

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/s19-2010

Authors: Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, Ritesh Kumar