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CRF-based Named Entity Recognition for Myanmar Language
http://hdl.handle.net/20.500.12678/0000004827
http://hdl.handle.net/20.500.12678/0000004827c6ced2fb-77e1-4765-9e53-78b385fa68d5
7acc9c57-995c-4549-bec4-e77e5ccb209f
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | CRF-based Named Entity Recognition for Myanmar Language | |||||
Language | en | |||||
Publication date | 2016-10-21 | |||||
Authors | ||||||
Mo, Hsu Myat | ||||||
Nwet, Khin Thandar | ||||||
Soe, Khin Mar | ||||||
Description | ||||||
Named Entity recognition (NER) is a subtask of information extraction and information retrieval that automatically identify proper nounsin texts and classify into predefined categories of name types. This paper introduces the effort on identification and classification of Named Entities inwritten Myanmar scripts in a statistical way. A statistical approach forNER of Myanmar Language using one of the supervised machine learningapproaches called Conditional Random Fields (CRF) has been proposed forthis task. | ||||||
Keywords | ||||||
Named Entity Recognition, Myanmar Language, CRF | ||||||
Identifier | 978-3-319-48489-1 | |||||
Journal articles | ||||||
The Tenth International Conference on Genetic and Evolutionary Computing (ICGEC 2016) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |