25 citations · 39 across the 8 of their papers we have counts for
5 papers · 1 filter
Fine-Tuning Approach for Arabic Offensive Language Detection System: BERT-Based Model
Fatemah Husain, Ozlem Uzuner
The problem of online offensive language limits the health and security of online users. It is essential to apply the latest state-of-the-art techniques in developing a system to d…
Transfer Learning Approach for Arabic Offensive Language Detection System -- BERT-Based Model
Fatemah Husain, Ozlem Uzuner
Developing a system to detect online offensive language is very important to the health and the security of online users. Studies have shown that cyberhate, online harassment and o…
Exploratory Arabic Offensive Language Dataset Analysis
Fatemah Husain, Ozlem Uzuner
This paper adding more insights towards resources and datasets used in Arabic offensive language research. The main goal of this paper is to guide researchers in Arabic offensive l…
SalamNET at SemEval-2020 Task12: Deep Learning Approach for Arabic Offensive Language Detection
Fatemah Husain, Jooyeon Lee, Samuel Henry +1
This paper describes SalamNET, an Arabic offensive language detection system that has been submitted to SemEval 2020 shared task 12: Multilingual Offensive Language Identification…
Arabic Offensive Language Detection Using Machine Learning and Ensemble Machine Learning Approaches
Fatemah Husain
This study aims at investigating the effect of applying single learner machine learning approach and ensemble machine learning approach for offensive language detection on Arabic l…