A rule-based Named-Entity Recognition for Malay articles

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Title

A rule-based Named-Entity Recognition for Malay articles

Content partner

Lincoln University

Collection

Lincoln University Research Archive

Description

A Named-Entity Recognition (NER) is part of the process in Text Mining used for information extraction. This NER tool can be used to assist user in identifying and detecting entities such as person, location or organization. Different languages may have different morphologies and thus require different NER processes. For instance, an English NER process cannot be applied in processing Malay articles due to the different morphology used in different languages. This paper proposes a Rule-Based ...

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Format

Research Paper

Research format

Conference paper

Date created

2013

Creator

Alfred, R / Leong, LC / On, CK / Anthony, Patricia / Fun, TS / Razali, MNB / Hijazi, MHA

URL

https://hdl.handle.net/10182/9277

Related subjects

named entity recognition / Malay named entity recognition / rule-based / information extraction / Information and computing sciences

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