Multi document summarization based on cross-document relation using voting technique
News articles which are available through online search often provide readers with large collection of texts. Especially in the case of news story, different news sources reporting on the same event usually returns multiple articles in response to a reader's search. In this work, we first ident...
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Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Published: |
2013
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/51184/ http://dx.doi.org/10.1109/ICCEEE.2013.6634009 |
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Institution: | Universiti Teknologi Malaysia |