Automatic Document Summary Technique Using Fuzzy Theory


KIPS Transactions on Software and Data Engineering, Vol. 3, No. 12, pp. 531-536, Dec. 2014
10.3745/KTSDE.2014.3.12.531,   PDF Download:

Abstract

With the very large quantity of information available on the Internet, techniques for dealing with the abundance of documents have become increasingly necessary but the problem of processing information in the documents is still technically challenging and remains under study. Automatic document summary techniques have been considered as one of critical solutions for processing documents to retain the important points and to remove duplicated contents of the original documents. In this paper, we propose a document summarization technique that uses a fuzzy theory. Proposed summary technique solves the ambiguous problem of various features determining the importance of the sentence and the experiment result shows that the technique generates better results than other previous techniques.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
S. H. Lee and S. J. Moon, "Automatic Document Summary Technique Using Fuzzy Theory," KIPS Transactions on Software and Data Engineering, vol. 3, no. 12, pp. 531-536, 2014. DOI: 10.3745/KTSDE.2014.3.12.531.

[ACM Style]
Sang Hoon Lee and Seung Jin Moon. 2014. Automatic Document Summary Technique Using Fuzzy Theory. KIPS Transactions on Software and Data Engineering, 3, 12, (2014), 531-536. DOI: 10.3745/KTSDE.2014.3.12.531.