Overview of the hasoc subtrack at fire 2021: Hate speech and offensive content identification in english and indo-aryan languages and conversational hate speech
The HASOC track is dedicated to the evaluation of technology for finding Offensive
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
L3cube-mahahate: A tweet-based marathi hate speech detection dataset and bert models
A Velankar, H Patil, A Gore, S Salunke… - arxiv preprint arxiv …, 2022 - arxiv.org
Social media platforms are used by a large number of people prominently to express their
thoughts and opinions. However, these platforms have contributed to a substantial amount …
thoughts and opinions. However, these platforms have contributed to a substantial amount …
Overview of the hasoc subtrack at fire 2021: Hate speech and offensive content identification in english and indo-aryan languages
The widespread of offensive content online such as hate speech poses a growing societal
problem. AI tools are necessary for supporting the moderation process at online platforms …
problem. AI tools are necessary for supporting the moderation process at online platforms …
A survey on multi-lingual offensive language detection
The prevalence of offensive content on online communication and social media platforms is
growing more and more common, which makes its detection difficult, especially in …
growing more and more common, which makes its detection difficult, especially in …
[PDF][PDF] Hate speech detection: a comparison of mono and multilingual transformer model with cross-language evaluation
Warning: This paper contains examples of the language that some people may find
offensive. Transformer-based Language models have achieved state-of-the-art performance …
offensive. Transformer-based Language models have achieved state-of-the-art performance …
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 …
Transformer-based hate speech detection in assamese
Hate speech or hate content detection in a text is one of the emerging research in Natural
Language Processing. Over several years, the popularity of social media has sky-rocketed …
Language Processing. Over several years, the popularity of social media has sky-rocketed …
A Transformer Based Approach for Abuse Detection in Code Mixed Indic Languages.
The advancement in the number of online social media platforms has entailed active
participation from the web users globally. This has also lead to subsequent increase in the …
participation from the web users globally. This has also lead to subsequent increase in the …
[PDF][PDF] Addressing Challenges in Hate Speech Detection Using BERT-Based Models: A Review
JA Aljawazeri, MN Jasim - Iraqi Journal for Computer Science and …, 2024 - iasj.net
The rapid growth of social media platforms has led to an increase in hate speech. This has
prompted the development of effective detection mechanisms that aim to mitigate the …
prompted the development of effective detection mechanisms that aim to mitigate the …
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 …