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Exploring Features for Myanmar Named Entity Recognition

http://hdl.handle.net/20.500.12678/0000004995
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proceeding_total-pages-429-433.pdf proceeding_total-pages-429-433.pdf (3105 Kb)
Publication type
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
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