Contextual Embeddings based on Fine-tuned Urdu-BERT for Urdu threatening content and target identification

Identification of threatening text on social media platforms is a challenging task. Contrary to the high-resource languages, the Urdu language has very limited such approaches and the benchmark approach has an issue of inappropriate data annotation. Therefore, we present robust threatening content a...

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Bibliographic Details
Main Authors: Muhammad Shahid Iqbal Malik, Uswa Cheema, Dmitry I. Ignatov
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S131915782300160X