Abstract
Coreference resolution is the task of resolving mentions that refer to the same entity into clusters. The area and its tasks are crucial in natural language processing (NLP) applications. Extensive surveys of this task have been conducted for English and Chinese; not too much for Arabic. The few Arabic surveys do not cover recent progress and the challenges for Arabic anaphora; and do not cover zero resolution and comprehensive resolution of zeros and full mentions, or anaphora resolution beyond coreference (e.g., bridging). In this paper, we examine the state-of-the-art for Arabic anaphora resolution, highlighting the challenges and advances in this field. We provide a comprehensive survey of the methods employed for Arabic coreference resolution, as well as an overview of the existing datasets and challenges. The goal is to equip researchers with a thorough understanding of Arabic anaphora resolution and to suggest potential future directions in the field.
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