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