SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

Autor:	Zampieri, Marcos, Nakov, Preslav, Rosenthal, Sara, Atanasova, Pepa, Karadzhov, Georgi, Mubarak, Hamdy, Derczynski, Leon, Pitenis, Zeses, Çöltekin, Çağrı
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language 68T50 68T07 I.2.7
Druh dokumentu:	Working Paper
Popis:	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. Comment: Proceedings of the International Workshop on Semantic Evaluation (SemEval-2020)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2006.07235 Zobrazit plný text záznamu View this record from Arxiv