Abstract
Information classification is aimed to secure the documents from being disclosed. The information is classified according to their critical semantic. The decision of classifying a portion of the document as a ‘secret’ depends on the effect of its disclose in the organization the document written for. However, understanding the semantic of the document is not an easy task. The rhetorical structure theory (RST) is one of the leading theories aimed for this reason. In this paper, we will explain a technique to classify the information using RST.
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References
Bill Mann, “An introduction to rhetorical structure theory (RST)”, http://www.sil.org/ mannb/rst/rintro99.htm, 1999.
Daniel Marcu, “Building Up Rhetorical Structure Trees”, The Proceeding of the Flexible Hypertext Workshop of the Eighth ACM International Hypertext Conference, 1997.
Daniel Marcu, “Discourse trees are good indicator of importance in text”, Advances in Automatic Text Summarization, pp 123–136, The MIT Press, 1999.
Daniel Marcu, “From discourse structure to text summaries”, The Proceeding of the ACL’97/EACL’97 Workshop on Intelligence Scalable Text Summarization, pp 82–88, Madrid, Spain, 11 July 1997.
Daniel Marcu, “The Rhetorical Parsing Summarization, and Generation of Natural Language Texts”, PhD Thesis, Department of Computer Science, University of Toronto, December 1997.
Daniel Marcu, “The theory and practice of discourse parsing and summarization”, The MIT press, 2000.
William C. Mann, Sandra A. Thompson, “Rhetorical structure theory: Toward a functional theory of text organization”, Text, Vol. 8, No.3, pp.243–281, 1988.
W. Nicolls, “Implementing Company Classification Policy with the S/MIME Security Label”, The Internet Society, 2002.
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© 2005 Springer-Verlag Berlin Heidelberg
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Mathkour, H., Touir, A., Al-Sanie, W. (2005). Automatic Information Classifier Using Rhetorical Structure Theory. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_24
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DOI: https://doi.org/10.1007/3-540-32392-9_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25056-2
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