Unlocking Arabic event relation extraction: a comprehensive survey

Event relation extraction tasks are paramount in natural language processing (NLP), facilitating a deeper understanding of textual narratives and enhancing language comprehension. However, a notable gap emerges when considering the Arabic language, with limited research dedicated to event-related tasks. This paper addresses this research gap by embarking on a comprehensive exploration of Arabic event relation extraction tasks. It is the first survey to explore Arabic event relation extraction tasks, illustrating the tasks, available corpora, existing works, and associated evaluation metrics. It also addresses the inherent challenges of Arabic event relations and provides insights into established English corpora and research for reference. Furthermore, the paper sets a future research agenda, emphasizing the need for dedicated corpora across tasks to advance the field and automate Arabic text and narrative comprehension.