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Template-Driven Automatic Myanmar Text Summarization using Conditional Random Fields

http://hdl.handle.net/20.500.12678/0000004344
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01976a1f-88cf-4096-8e99-721ab46a3930
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10078.pdf 10078.pdf (721 Kb)
Publication type
Article
Upload type
Publication
Title
Title Template-Driven Automatic Myanmar Text Summarization using Conditional Random Fields
Language en_US
Publication date 2012-02-28
Authors
Kyaw, Win Thuzar
Thein, Ni Lar
Htay, Hla Hla
Description
By providing information as the summary, thereader can save time and can easily absorb themain concepts of the articles which aredescribed in digital form. Therefore, automatictext summarization, the process of compressingthe documents into the compact style by means ofa computer, plays an important role. In thispaper, Template-Driven Automatic MyanmarText Summarization using Conditional RandomFields (CRFs) is introduced for Myanmar newsarticles in natural disaster domain collectedfrom official Myanmar Newspaper. CRFs areundirected graphical models which can be usedto segment and label natural language text. CRFmodel is mainly used for information extractionin this work.
Keywords
automatic text summarization, conditional random fields (CRFs)
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/2280
Journal articles
Tenth International Conference On Computer Applications (ICCA 2012)
Conference papers
Books/reports/chapters
Thesis/dissertations
285
211
views
downloads
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CA7
CN26
DE23
ES1
IE1
LV1
NZ3
RU3
US220

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