arXiv 2006.072352020-09-30cs.CL

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

Rochester Institute of Technology（罗切斯特理工学院）；Qatar Computing Research Institute（卡塔尔计算研究所）；IBM Research（IBM研究院）；University of Copenhagen（哥本哈根大学）；University of Cambridge（剑桥大学）；IT University Copenhagen（哥本哈根信息技术大学）；University of Wolverhampton（伍尔弗汉普顿大学）；University of Tübingen（图宾根大学）

Marcos Zampieri, Preslav Nakov, Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Hamdy Mubarak, Leon Derczynski, Zeses Pitenis, Çağrı Çöltekin

备注：: Proceedings of the International Workshop on Semantic Evaluation (SemEval-2020)

阅读 PDF

arXiv 页面 ↗HTML 原文 ↗

英文摘要：

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.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。