A Survey of Techniques and Challenges in Arabic Named Entity Recognition

Authors

  • Basma Emhamed Dihoum, Abduelbaset Mustafa Goweder

Abstract

Arabic Named Entity Recognition (NER) serves as a crucial facet within Natural Language Processing, given the intricacies of the Arabic language. This survey consolidates the current landscape of Arabic NER, covering methodologies, challenges, and advancements. The review thoroughly examines various methods, from rule-based systems to advanced deep learning techniques, emphasizing their strengths and shortcomings. It also addresses the challenges inherent to Arabic NER, such as dialectal variations and limited annotated data, while exploring recent advancements and their applications in sentiment analysis, information retrieval, and other domains. This survey aims to provide a comprehensive overview that caters to researchers, practitioners, and enthusiasts in Arabic NER and NLP.

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Published

2024-05-29

Issue

Section

Articles