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Leveraging Offensive Language for Sarcasm and Sentiment Detection in Arabic
Sarcasm detection is one of the top challenging tasks in text classification, particularly for informal Arabic with high syntactic and semantic ambiguity.
Fine-Tuning Approach for Arabic Offensive Language Detection System: BERT-Based Model
The problem of online offensive language limits the health and security of online users.
Transfer Learning Approach for Arabic Offensive Language Detection System -- BERT-Based Model
In our study, we apply the principles of transfer learning cross multiple Arabic offensive language datasets to compare the effects on system performance.
Exploratory Arabic Offensive Language Dataset Analysis
This paper adding more insights towards resources and datasets used in Arabic offensive language research.
SalamNET at SemEval-2020 Task 12: Deep Learning Approach for Arabic Offensive Language Detection
This paper describes SalamNET, an Arabic offensive language detection system that has been submitted to SemEval 2020 shared task 12: Multilingual Offensive Language Identification in Social Media.
SalamNET at SemEval-2020 Task12: Deep Learning Approach for Arabic Offensive Language Detection
This paper describes SalamNET, an Arabic offensive language detection system that has been submitted to SemEval 2020 shared task 12: Multilingual Offensive Language Identification in Social Media.
Arabic Offensive Language Detection Using Machine Learning and Ensemble Machine Learning Approaches
Our study shows significant impact for applying ensemble machine learning approach over the single learner machine learning approach.
OSACT4 Shared Task on Offensive Language Detection: Intensive Preprocessing-Based Approach
This study aims at investigating the impact of the preprocessing phase on text classification, specifically on offensive language and hate speech classification for Arabic text.
