Overview of OSACT4 Arabic Offensive Language Detection Shared Task

Hamdy Mubarak, Kareem Darwish, Walid Magdy, Tamer Elsayed, Hend Al-Khalifa


Abstract
This paper provides an overview of the offensive language detection shared task at the 4th workshop on Open-Source Arabic Corpora and Processing Tools (OSACT4). There were two subtasks, namely: Subtask A, involving the detection of offensive language, which contains unacceptable or vulgar content in addition to any kind of explicit or implicit insults or attacks against individuals or groups; and Subtask B, involving the detection of hate speech, which contains insults or threats targeting a group based on their nationality, ethnicity, race, gender, political or sport affiliation, religious belief, or other common characteristics. In total, 40 teams signed up to participate in Subtask A, and 14 of them submitted test runs. For Subtask B, 33 teams signed up to participate and 13 of them submitted runs. We present and analyze all submissions in this paper.
Anthology ID:
2020.osact-1.7
Volume:
Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
OSACT
SIG:
Publisher:
European Language Resource Association
Note:
Pages:
48–52
Language:
English
URL:
https://aclanthology.org/2020.osact-1.7
DOI:
Bibkey:
Cite (ACL):
Hamdy Mubarak, Kareem Darwish, Walid Magdy, Tamer Elsayed, and Hend Al-Khalifa. 2020. Overview of OSACT4 Arabic Offensive Language Detection Shared Task. In Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection, pages 48–52, Marseille, France. European Language Resource Association.
Cite (Informal):
Overview of OSACT4 Arabic Offensive Language Detection Shared Task (Mubarak et al., OSACT 2020)
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PDF:
https://aclanthology.org/2020.osact-1.7.pdf