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Automatic text summarization of Swedish news articles
Linköping University, Department of Computer and Information Science.
Linköping University, Department of Computer and Information Science.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10,5 credits / 16 HE creditsStudent thesis
Abstract [en]

With an increasing amount of textual information available there is also an increased need to make this information more accessible. Our paper describes a modified TextRank model and investigates the different methods available to use automatic text summarization as a means for summary creation of swedish news articles.

To evaluate our model we focused on intrinsic evaluation methods, in part through content evaluation in the form of of measuring referential clarity and non-redundancy, and in part by text quality evaluation measures, in the form of keyword retention and ROUGE evaluation.

The results acquired indicate that stemming and improved stop word capabilities can have a positive effect on the ROUGE scores. The addition of redundancy checks also seems to have a positive effect on avoiding repetition of information. Keyword retention decreased somewhat, however. Lastly all methods had some trouble with dangling anaphora, showing a need for further work within anaphora resolution.

Place, publisher, year, edition, pages
2019. , p. 10
Keywords [en]
Automatic text summarization, Language technology, Summary evaluation, Natural language processing
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-159972ISRN: LIU-IDA/LITH-EX-G--19/048--SEOAI: oai:DiVA.org:liu-159972DiVA, id: diva2:1347250
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iMatrics
Subject / course
Computer Programming
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Examiners
Available from: 2019-09-04 Created: 2019-08-30 Last updated: 2019-09-04Bibliographically approved

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fulltext(524 kB)10 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf