ALT Submission for OSACT Shared Task on Offensive Language Detection

Sabit Hassan, Younes Samih, Hamdy Mubarak, Ahmed Abdelali, Ammar Rashed, Shammur Absar Chowdhury


Abstract
In this paper, we describe our efforts at OSACT Shared Task on Offensive Language Detection. The shared task consists of two subtasks: offensive language detection (Subtask A) and hate speech detection (Subtask B). For offensive language detection, a system combination of Support Vector Machines (SVMs) and Deep Neural Networks (DNNs) achieved the best results on development set, which ranked 1st in the official results for Subtask A with F1-score of 90.51% on the test set. For hate speech detection, DNNs were less effective and a system combination of multiple SVMs with different parameters achieved the best results on development set, which ranked 4th in official results for Subtask B with F1-macro score of 80.63% on the test set.
Anthology ID:
2020.osact-1.9
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:
61–65
Language:
English
URL:
https://aclanthology.org/2020.osact-1.9
DOI:
Bibkey:
Cite (ACL):
Sabit Hassan, Younes Samih, Hamdy Mubarak, Ahmed Abdelali, Ammar Rashed, and Shammur Absar Chowdhury. 2020. ALT Submission for OSACT Shared Task on Offensive Language Detection. In Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection, pages 61–65, Marseille, France. European Language Resource Association.
Cite (Informal):
ALT Submission for OSACT Shared Task on Offensive Language Detection (Hassan et al., OSACT 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.osact-1.9.pdf