2 papers
cs.CL2025
Irony Detection in Urdu Text: A Comparative Study Using Machine Learning Models and Large Language Models
Fiaz Ahmad, Nisar Hussain, Amna Qasim +3
Ironic identification is a challenging task in Natural Language Processing, particularly when dealing with languages that differ in syntax and cultural context. In this work, we ai…
cs.CL2025
Fine-Tuning Large Language Models with QLoRA for Offensive Language Detection in Roman Urdu-English Code-Mixed Text
Nisar Hussain, Amna Qasim, Gull Mehak +3
The use of derogatory terms in languages that employ code mixing, such as Roman Urdu, presents challenges for Natural Language Processing systems due to unstated grammar, inconsist…