Fine-Tuning Transformer Models Using Transfer Learning for Multilingual Threatening Text Identification

Fine-Tuning Transformer Models Using Transfer Learning for Multilingual Threatening Text Identification

Threatening content detection on social media has recently gained attention. There is very limited work regarding threatening content detection in low-resource languages, especially in Urdu. Furthermore, previous work explored only mono-lingual approaches, and multi-lingual threatening content detec...

Full description

Bibliographic Details
Main Authors: Muhammad Rehan, Muhammad Shahid Iqbal Malik, Mona Mamdouh Jamjoom
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Multi-lingual
Urdu
XLM-RoBERTa
threatening text
fine-tunning
MuRIL
Online Access:https://ieeexplore.ieee.org/document/10265242/

Internet

https://ieeexplore.ieee.org/document/10265242/

Similar Items