Named entity recognition for quranic text using rule based approaches

The variety and difference between domains for textual data require customization in the Natural Language Processing component especially in Named Entity Recognition where different domains contain several types of entities. The current NER model is deemed not fit to accurately extract entities...

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Bibliographic Details
Main Authors: Shasha Arzila Tarmizi,, Saidah Saad,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2022
Online Access:http://journalarticle.ukm.my/20852/1/9.pdf
http://journalarticle.ukm.my/20852/
https://www.ukm.my/apjitm/articles-issues
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