Document Classification in Summarization

Georgios Mamakis, Athanasios Malamos, Andrew Ware, Ioanna Karelli

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)25 - 38
Number of pages13
JournalJournal of Information and Computing Science
Issue number1
Publication statusPublished - 1 Feb 2012


  • document classification
  • supervised document summarization
  • statistics


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