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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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Pritam Deka, Ashwathy Revi

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 Artificial Intelligence > Core AI > Natural Language Processing Deep Learning > Learning Types > Fine-Tuning

Keywords

transfer learning domain adaptation natural language processing bert model domain-specific pretraining arabic language disinformation detection disinformation identification

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