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Deep Learning Approach For Arabic Named Entity Recognition by abayneh belete is a document available to read on EtoBox.

What is Deep Learning Approach For Arabic Named Entity Recognition about?

This document presents a deep learning model for Arabic Named Entity Recognition (NER) using Deep Neural Networks (DNNs), which automatically learns features from data without relying on handcrafted engineering features or linguistic rules. The proposed model outperforms previous systems, achieving significant improvements in F-measure and precision, and can easily be extended to recognize other named entities. The study highlights the challenges of Arabic NER due to the language

Author

abayneh belete

Language

EN