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Template-Driven Automatic Myanmar Text Summarization using Conditional Random Fields
http://hdl.handle.net/20.500.12678/0000004344
http://hdl.handle.net/20.500.12678/000000434452dc85ad-7bcd-403a-84cb-a73f6b8ac617
01976a1f-88cf-4096-8e99-721ab46a3930
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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 |