Deep Multi-Task Models for Misogyny Identification and Categorization on Arabic Social Media

06/16/2022
by   Abdelkader El Mahdaouy, et al.
0

The prevalence of toxic content on social media platforms, such as hate speech, offensive language, and misogyny, presents serious challenges to our interconnected society. These challenging issues have attracted widespread attention in Natural Language Processing (NLP) community. In this paper, we present the submitted systems to the first Arabic Misogyny Identification shared task. We investigate three multi-task learning models as well as their single-task counterparts. In order to encode the input text, our models rely on the pre-trained MARBERT language model. The overall obtained results show that all our submitted models have achieved the best performances (top three ranked submissions) in both misogyny identification and categorization tasks.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/26/2020

KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media

In this paper, we describe our approach to utilize pre-trained BERT mode...
research
04/28/2020

Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language Detection

Nowadays, offensive content in social media has become a serious problem...
research
12/14/2022

ReDDIT: Regret Detection and Domain Identification from Text

In this paper, we present a study of regret and its expression on social...
research
10/10/2020

Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments

Although the prediction of dialects is an important language processing ...
research
08/31/2018

Neural DrugNet

In this paper, we describe the system submitted for the shared task on S...
research
09/11/2020

WOLI at SemEval-2020 Task 12: Arabic Offensive Language Identification on Different Twitter Datasets

Communicating through social platforms has become one of the principal m...
research
01/27/2021

Exploring multi-task multi-lingual learning of transformer models for hate speech and offensive speech identification in social media

Hate Speech has become a major content moderation issue for online socia...

Please sign up or login with your details

Forgot password? Click here to reset