SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
This work addresses the need for multilingual offensive language detection in social media, which is incremental as it builds on prior tasks and taxonomies.
The paper tackled the problem of identifying offensive language in social media across multiple languages, presenting results from a SemEval-2020 task that attracted 528 teams and 145 system submissions.
We present the results and main findings of SemEval-2020 Task 12 on Multilingual Offensive Language Identification in Social Media (OffensEval 2020). The task involves three subtasks corresponding to the hierarchical taxonomy of the OLID schema (Zampieri et al., 2019a) from OffensEval 2019. The task featured five languages: English, Arabic, Danish, Greek, and Turkish for Subtask A. 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.