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4. Conclusion and Future Work

Named Entity Recognition is an area of research steadily increasing due to its significant contribution to
many natural language applications. NER has a vital role to play in automated information extraction. In this
article, NER approaches from rules-based to machine learning and hybrid approaches are presented. Also,
challenges and issues related to NER have been outlined. Based on discussion shows that the research of Malay
named entity still in the early stage. The demand for Malay NER will continue to expand and need a lot of
consideration to matured it for the other application development based on Malay text and document to be in
proper place compare to other languages.

Acknowledgements

This research was supported by Fakulti Teknologi dan Sains Maklumat, Universiti Kebangsaan Malaysia
and this project is funded by MoHE under research code FRGS/1/2019/ICT02/UKM/02/2.

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