[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 …
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
Offensive content moderation is vital in social media platforms to support healthy online
discussions. However, their prevalence in codemixed Dravidian languages is limited to …
discussions. However, their prevalence in codemixed Dravidian languages is limited to …
GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection
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 …
gained significant prominence. While extensive research is being conducted to develop …
TABHATE: a target-based hate speech detection dataset in Hindi
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
discussions. However, their prevalence in code-mixed Dravidian languages is limited to …