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Automatic summarization and readability
Linköping University, Department of Computer and Information Science.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The enormous amount of information available today within different media gives rise to the notion of ways to reduce the inevitable complexity and to distribute text material to different channels or media. In an effort to investigate the possibilities of a tool to help eleviate the problem, an automatic summarizer called COGSUM has been developed and evaluated with regards to the informational quality of the summaries and with regards to the readability. COGSUM is based on word space methodology, including virtues such as problematic computational complexity and possibilities of inferring semantic relations. The results from the evaluations show how to set some parameters in order to get as good summary as possible and that the resulting summaries have higher readability score than the full text on different genres.

Place, publisher, year, edition, pages
2011. , 40 p.
National Category
Psychology (excluding Applied Psychology)
URN: urn:nbn:se:liu:diva-68332ISRN: LIU-IDA/KOGVET-A–11/004–SEOAI: diva2:418039
Subject / course
Cognitive science programme
2011-04-11, John von Neumann, Linköping university, Linköping, 13:15 (English)
Available from: 2011-05-19 Created: 2011-05-19 Last updated: 2011-05-19Bibliographically approved

Open Access in DiVA

christian.smith.MA(742 kB)268 downloads
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File name FULLTEXT01.pdfFile size 742 kBChecksum SHA-512
Type fulltextMimetype application/pdf

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Department of Computer and Information Science
Psychology (excluding Applied Psychology)

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