2023
EMNLP
EMNLP 2023
PD-AR at ArAIEval Shared Task: A BERT-Centric Approach to Tackle Arabic Disinformation
Abstract
AbstractThis work explores Arabic disinformation identification, a crucial task in natural language processing, using a state-of-the-art NLP model. We highlight the performance of our system model against baseline models, including multilingual and Arabic-specific ones, and showcase the effectiveness of domain-specific pre-trained models. This work advocates for the adoption of tailored pre-trained models in NLP, emphasizing their significance in understanding diverse languages. By merging advanced NLP techniques with domain-specific pre-training, it advances Arabic disinformation identification.
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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Machine Learning and Natural Language Processing
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Keyword Pioneer
— disinformation identification
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Machine Learning > Application Areas > Domain Adaptation
Deep Learning > Architectures > Transformers
Natural Language Processing > Applications > Text Classification
Machine Learning > Learning Types > Transfer Learning
Deep Learning > Learning Types > Transfer Learning
Deep Learning > Techniques > Fine-Tuning
Artificial Intelligence > Core AI > Natural Language Processing