[HTML][HTML] Offensive language identification in dravidian languages using mpnet and cnn

BR Chakravarthi, MB Jagadeeshan… - International Journal of …, 2023 - Elsevier
Social media has effectively replaced traditional forms of communication and marketing. As
these platforms allow for the free expression of ideas and facts through text, images, and …

Findings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments

M Ravikiran, BR Chakravarthi, AK Madasamy… - arxiv preprint arxiv …, 2022 - arxiv.org
Offensive content moderation is vital in social media platforms to support healthy online
discussions. However, their prevalence in codemixed Dravidian languages is limited to …

GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection

K Maity, R Jain, P Jha, S Saha… - Proceedings of the …, 2023 - aclanthology.org
With the rise of social media and online communication, the issue of cyberbullying has
gained significant prominence. While extensive research is being conducted to develop …

TABHATE: a target-based hate speech detection dataset in Hindi

D Sharma, VK Singh, V Gupta - Social Network Analysis and Mining, 2024 - Springer
Social media has become a platform for expressing opinions and emotions, but some
people also use it to spread hate, targeting individuals, groups, communities, or countries …

[PDF][PDF] OffMix-3L: A novel code-mixed test dataset in bangla-english-hindi for offensive language identification

D Goswami, MN Raihan, A Mahmud… - Proceedings of the …, 2023 - aclanthology.org
Code-mixing is a well-studied linguistic phenomenon when two or more languages are
mixed in text or speech. Several works have been conducted on building datasets and …

Nitk-it_nlp@ tamilnlp-acl2022: Transformer based model for toxic span identification in Tamil

H LekshmiAmmal, M Ravikiran - Proceedings of the Second …, 2022 - aclanthology.org
Toxic span identification in Tamil is a shared task that focuses on identifying harmful content,
contributing to offensiveness. In this work, we have built a model that can efficiently identify …

OffMix-3L: A Novel Code-Mixed Dataset in Bangla-English-Hindi for Offensive Language Identification

D Goswami, MN Raihan, A Mahmud… - arxiv preprint arxiv …, 2023 - arxiv.org
Code-mixing is a well-studied linguistic phenomenon when two or more languages are
mixed in text or speech. Several works have been conducted on building datasets and …

Language Preference for Expression of Sentiment for Nepali-English Bilingual Speakers on Social Media

N Pahari, K Shimada - Proceedings of the 6th Workshop on …, 2023 - aclanthology.org
Nepali-English code-switching (CS) has been a growing phenomenon in Nepalese society,
especially in social media. The code-switching text can be leveraged to understand the …

DLRG@ TamilNLP-ACL2022: Offensive span identification in Tamil usingBiLSTM-CRF approach

R Rajalakshmi, M More, B Shrikriti… - Proceedings of the …, 2022 - aclanthology.org
Identifying offensive speech is an exciting andessential area of research, with ample
tractionin recent times. This paper presents our sys-tem submission to the subtask 1 …

Findings of the shared task on offensive span identification fromCode-mixed Tamil-English comments

M Ravikiran, BR Chakravarthi… - Proceedings of the …, 2022 - aclanthology.org
Offensive content moderation is vital in social media platforms to support healthy online
discussions. However, their prevalence in code-mixed Dravidian languages is limited to …