Mohamed El Bachir Menai

ANERD: A Large-Scale Arabic Corpus for Named Entity Recognition and Disambiguation

Arabic NER and NED research is limited by the lack of large-scale public datasets that support both tasks with validated entity links and difficulty-aware evaluation. In this paper, we propose ANERD, a large-scale Arabic corpus and benchmark for NER/NED, to overcome these drawbacks. ANERD includes 502,756 sentences fro...