CRF based feature extraction applied for supervised automatic text summarization

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CRF based feature extraction applied for supervised automatic text summarization

Feature extraction is the promising issue to be addressed in algebraic based Automatic Text Summarization (ATS) methods. The most vital role of any ATS is the identification of most important sentences from the given text. This is possible only when the correct features of the sentences are iden...

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Bibliographic Details
Main Authors:	K. Batcha, Nowshath, A. Aziz, Normaziah, I. Shafie, Sharil
Format:	Article
Language:	English
Published:	Elsevier Ltd. 2013
Subjects:	T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/35423/ http://irep.iium.edu.my/35423/1/1-s2.0-S2212017313003666-main.pdf

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