Papers by Faizad Ullah
Detecting Cybercrimes in Accordance with Pakistani Law: Dataset and Evaluation Using PLMs (2024.lrec-main)
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| Challenge: | Roman Urdu is a widely used language in Pakistan but lacks sufficient resources and tools for text-based cybercrime detection. |
| Approach: | They propose to use a benchmark dataset for text-based cybercrime detection in Roman Urdu to improve the performance of pre-trained language models. |
| Outcome: | The proposed model achieves the highest performance on all metrics. |
Comparing Prompt-Based and Standard Fine-Tuning for Urdu Text Classification (2023.findings-emnlp)
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| Challenge: | Recent advances in natural language processing have demonstrated the efficacy of pre-trained language models for various downstream tasks. |
| Approach: | They compare prompt-based fine-tuning with standard fine-uning for text classification in Urdu and Roman Urdu languages. |
| Outcome: | The proposed approach improves up to 13% in accuracy in low-resource languages with limited labeled examples over standard fine-tuning approaches. |
UrduMASD: A Multimodal Abstractive Summarization Dataset for Urdu (2024.lrec-main)
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| Challenge: | a surge of multimodal content on social media has transformed our methods of communication and information exchange. |
| Approach: | They propose a video-based Urdu multimodal abstractive text summarization dataset . it uses a variety of evaluation metrics to ensure the quality of the dataset amounted to a high quality one . |
| Outcome: | The proposed dataset surpasses existing datasets on key quality metrics. |