User-aware multilingual abusive content detection in social media
MZU Rehman, S Mehta, K Singh, K Kaushik… - Information Processing & …, 2023 - Elsevier
Despite growing efforts to halt distasteful content on social media, multilingualism has added
a new dimension to this problem. The scarcity of resources makes the challenge even …
a new dimension to this problem. The scarcity of resources makes the challenge even …
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges
The growing prevalence and rapid evolution of offensive language in social media amplify
the complexities of detection, particularly highlighting the challenges in identifying such …
the complexities of detection, particularly highlighting the challenges in identifying such …
A twitter bert approach for offensive language detection in marathi
Automated offensive language detection is essential in combating the spread of hate
speech, particularly in social media. This paper describes our work on Offensive Language …
speech, particularly in social media. This paper describes our work on Offensive Language …
Overview of the HASOC subtrack at FIRE 2022: Offensive Language Identification in Marathi
The widespread of offensive content online has become a reason for great concern in recent
years, motivating researchers to develop robust systems capable of identifying such content …
years, motivating researchers to develop robust systems capable of identifying such content …
OffensEval 2023: Offensive language identification in the age of Large Language Models
The OffensEval shared tasks organized as part of SemEval-2019–2020 were very popular,
attracting over 1300 participating teams. The two editions of the shared task helped advance …
attracting over 1300 participating teams. The two editions of the shared task helped advance …
Teacher and student models of offensive language in social media
T Ranasinghe, M Zampieri - Findings of the Association for …, 2023 - aclanthology.org
State-of-the-art approaches to identifying offensive language online make use of large pre-
trained transformer models. However, the inference time, disk, and memory requirements of …
trained transformer models. However, the inference time, disk, and memory requirements of …
Hate speech is not free speech: Explainable machine learning for hate speech detection in code-mixed languages
The increase in connectivity provided by social media platforms comes with several
disadvantages. It has become surprisingly easy for ill-intentioned individuals to stalk, harass …
disadvantages. It has become surprisingly easy for ill-intentioned individuals to stalk, harass …
Towards generalized offensive language identification
A Dmonte, T Arya, T Ranasinghe… - arXiv preprint arXiv …, 2024 - arxiv.org
The prevalence of offensive content on the internet, encompassing hate speech and
cyberbullying, is a pervasive issue worldwide. Consequently, it has garnered significant …
cyberbullying, is a pervasive issue worldwide. Consequently, it has garnered significant …
Overview of the HASOC subtracks at FIRE 2023: Detection of hate spans and conversational hate-speech
The proliferation of hateful content on Social Media has drawn a lot of attention lately, which
has prompted practitioners to develop systems that can recognize this kind of content …
has prompted practitioners to develop systems that can recognize this kind of content …
Offensive language identification with multi-task learning
The widespread presence of offensive content is a major issue in social media. This has
motivated the development of computational models to identify such content in posts or …
motivated the development of computational models to identify such content in posts or …