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  1. University of Information Technology
  2. Faculty of Computer Science

CRF-based Named Entity Recognition for Myanmar Language

https://meral.edu.mm/records/6758
https://meral.edu.mm/records/6758
e6ab9fc5-e71e-421a-ab4a-ac3020a8b281
4ecadd55-0a71-4817-85e0-1bc9605ae788
Publication type
Conference paper
Upload type
Publication
Title
Title CRF-based Named Entity Recognition for Myanmar Language
Language en
Publication date 2016-11-01
Authors
Hsu Myat Mo
KhinThandar Nwet
Khin Mar Soe
Description
Named Entity recognition (NER) is a subtask of information ex-traction and information retrieval that automatically identify proper nouns in texts and classify into predefined categories of name types. This paper in-troduces the effort on identification and classification of Named Entities in written Myanmar scripts in a statistical way. A statistical approach for NER of Myanmar Language using one of the supervised machine learning approaches called Conditional Random Fields (CRF) has been proposed for this task.
Keywords
Named Entity Recognition, Myanmar language, CRF
Identifier 10.1007/978-3-319-48490-7_24
Conference papers
ICGEC 2016
November, 2016
The 10th International Conference on Gentic and Evolutionary Computing
https://link.springer.com/chapter/10.1007%2F978-3-319-48490-7_24
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