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New Index
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Item
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Exploring Features for Myanmar Named Entity Recognition
http://hdl.handle.net/20.500.12678/0000004995
http://hdl.handle.net/20.500.12678/0000004995f9dbc472-aae9-4255-8e8f-74e6b92b1f03
d17f6da5-91c7-4e17-ae15-161ca108746b
Name / File | License | Actions |
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Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Exploring Features for Myanmar Named Entity Recognition | |||||
Language | en | |||||
Publication date | 2017-02-16 | |||||
Authors | ||||||
Mo, Hsu Myat | ||||||
Nwet, Khin Thandar | ||||||
Soe, Khin Mar | ||||||
Description | ||||||
Named Entity Recognition (NER) is the task ofclassifying or labeling atomic elements in the text intopredefined sets of named entity categories such asPerson, Location, Organization or Number. NER isalso a crucial piece of Information Extraction System.Robust handling of proper names is essential for manyapplications in natural language processing and keyknowledge acquisition infrastructure for the SemanticWeb. For Myanmar Language, exploring features forNER with machine learning approach is a stillchallenging task because of the complex nature of thelanguage. This paper describes our effort on featureexploring using local and external information forMyanmar NER that applied Conditional RandomFields (CRFs). The experimental results show that thebest result is obtained by combining the local feature,such as neighboring words, and the externalinformation such as clue words and name lists. | ||||||
Keywords | ||||||
Named Entity Recognition, Feature Exploring, Myanmar Language | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/892 | |||||
Journal articles | ||||||
Fifteenth International Conference on Computer Applications(ICCA 2017) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |