Abstract
E-Learning aims at defining education to be made as anytime, anywhere and anybody entity. Usability can be increased by incorporating summarization in E-learning context. The aim of the text summarization is to select the most important information from an abundance of text. This paper investigates a new approach for single document summarization based on graph traversal technique with constraint to improve cohesion. The selection of features plays a vital role in the sentence extraction. By considering both the structured and the unstructured features, better summary can be generated.
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© 2012 Springer-Verlag Berlin Heidelberg
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Kumaresh, N., Ramakrishnan, B.S. (2012). Graph Based Single Document Summarization. In: Kannan, R., Andres, F. (eds) Data Engineering and Management. ICDEM 2010. Lecture Notes in Computer Science, vol 6411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27872-3_5
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DOI: https://doi.org/10.1007/978-3-642-27872-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27871-6
Online ISBN: 978-3-642-27872-3
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