VerbaVisor@Multimodal Hate Speech Event Detection 2023: Hate Speech Detection using Transformer Model

Sarika Esackimuthu, Prabavathy Balasundaram


Abstract
Hate speech detection has emerged as a critical research area in recent years due to the rise of online social platforms and the proliferation of harmful content targeting individuals or specific groups.This task highlights the importance of detecting hate speech in text-embedded images.By leveraging deep learning models,this research aims to uncover the connection between hate speech and the entities it targets.
Anthology ID:
2023.case-1.11
Volume:
Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text
Month:
sEPTEMBER
Year:
2023
Address:
Varna, Bulgaria
Editors:
Ali Hürriyetoğlu, Hristo Tanev, Vanni Zavarella, Reyyan Yeniterzi, Erdem Yörük, Milena Slavcheva
Venues:
CASE | WS
SIG:
Publisher:
INCOMA Ltd., Shoumen, Bulgaria
Note:
Pages:
79–83
Language:
URL:
https://aclanthology.org/2023.case-1.11
DOI:
Bibkey:
Cite (ACL):
Sarika Esackimuthu and Prabavathy Balasundaram. 2023. VerbaVisor@Multimodal Hate Speech Event Detection 2023: Hate Speech Detection using Transformer Model. In Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, pages 79–83, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.
Cite (Informal):
VerbaVisor@Multimodal Hate Speech Event Detection 2023: Hate Speech Detection using Transformer Model (Esackimuthu & Balasundaram, CASE-WS 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.case-1.11.pdf