Document Classification in Summarization
Year: 2012
Journal of Information and Computing Science, Vol. 7 (2012), Iss. 1 : pp. 25–36
Abstract
Document classification and document summarization have a fairly indirect relation as document classification fall into classification problems as opposed to document summarization, where it is treated as a problem of semantics. A major part of the summarization process is the identification of the topic or topics that are discussed in a random document. With that in mind, we try to discover whether document classification can assist in supervised document summarization. Our approach considers a set of classes, in which a document may be classified in, and a novel summarization scheme adapted to extract summaries according the results of the classification. The system is evaluated against a number of supervises and unsupervised approaches and yields significant results.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22660
Journal of Information and Computing Science, Vol. 7 (2012), Iss. 1 : pp. 25–36
Published online: 2012-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 12