Named Entity Recognition for Dialectal Arabic
نویسندگان
چکیده
To date, majority of research for Arabic Named Entity Recognition (NER) addresses the task for Modern Standard Arabic (MSA) and mainly focuses on the newswire genre. Despite some common characteristics between MSA and Dialectal Arabic (DA), the significant differences between the two language varieties hinder such MSA specific systems from solving NER for Dialectal Arabic. In this paper, we present an NER system for DA specifically focusing on the Egyptian Dialect (EGY). Our system delivers ≈ 16% improvement in F1-score over state-of-theart features.
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