@inproceedings{alzubi-etal-2022-aixplain,
title = "ai{X}plain at {A}rabic Hate Speech 2022: An Ensemble Based Approach to Detecting Offensive Tweets",
author = "Alzubi, Salaheddin and
Ferreira, Thiago Castro and
Pavanelli, Lucas and
Al-Badrashiny, Mohamed",
editor = "Al-Khalifa, Hend and
Elsayed, Tamer and
Mubarak, Hamdy and
Al-Thubaity, Abdulmohsen and
Magdy, Walid and
Darwish, Kareem",
booktitle = "Proceedinsg of the 5th Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.osact-1.28",
pages = "214--217",
abstract = "Abusive speech on online platforms has a detrimental effect on users{'} mental health. This warrants the need for innovative solutions that automatically moderate content, especially on online platforms such as Twitter where a user{'}s anonymity is loosely controlled. This paper outlines aiXplain Inc.{'}s ensemble based approach to detecting offensive speech in the Arabic language based on OSACT5{'}s shared sub-task A. Additionally, this paper highlights multiple challenges that may hinder progress on detecting abusive speech and provides potential avenues and techniques that may lead to significant progress.",
}
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%0 Conference Proceedings
%T aiXplain at Arabic Hate Speech 2022: An Ensemble Based Approach to Detecting Offensive Tweets
%A Alzubi, Salaheddin
%A Ferreira, Thiago Castro
%A Pavanelli, Lucas
%A Al-Badrashiny, Mohamed
%Y Al-Khalifa, Hend
%Y Elsayed, Tamer
%Y Mubarak, Hamdy
%Y Al-Thubaity, Abdulmohsen
%Y Magdy, Walid
%Y Darwish, Kareem
%S Proceedinsg of the 5th Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur’an QA and Fine-Grained Hate Speech Detection
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F alzubi-etal-2022-aixplain
%X Abusive speech on online platforms has a detrimental effect on users’ mental health. This warrants the need for innovative solutions that automatically moderate content, especially on online platforms such as Twitter where a user’s anonymity is loosely controlled. This paper outlines aiXplain Inc.’s ensemble based approach to detecting offensive speech in the Arabic language based on OSACT5’s shared sub-task A. Additionally, this paper highlights multiple challenges that may hinder progress on detecting abusive speech and provides potential avenues and techniques that may lead to significant progress.
%U https://aclanthology.org/2022.osact-1.28
%P 214-217
Markdown (Informal)
[aiXplain at Arabic Hate Speech 2022: An Ensemble Based Approach to Detecting Offensive Tweets](https://aclanthology.org/2022.osact-1.28) (Alzubi et al., OSACT 2022)
ACL