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To search and summarize in Scandinavia
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2004 (English)In: In the proceedings of The First Baltic Conference, Human Language Technologies - the Baltic Perspective, Riga, Latvia, April 21-22, 2004, 2004Conference paper, Published paper (Refereed)
Abstract [en]
Automatic text summarization is the method where a computer summarizes a text. A text is given to the computer and it returns a non-redundant shorter text. Text summarization can be used to summarize news in the Business Intelligence domain, automatically edit news in the news paper setting domain and summarize news down to a length suitable for SMS and WAP but also to summarize news before they are synthetically read. In 1999 we created the first text summarizer for Swedish news-paper text – SweSum. SweSum has since then been ported to the following seven languages Danish, Norwegian, English, Spanish, French, German and Farsi. SweSum is freely available as a demo on the Internet and has about 2 200 users per month. A spin-off from SweSum is SiteSeeker - a commercial search engine for websites and intranets SiteSeeker has built in spelling support, stemming for Swedish, Danish and English as well as presentation of document’s extracts in the hit list. SiteSeeker is used at over 50 public websites in Sweden.
Place, publisher, year, edition, pages
2004.
Identifiers
URN: urn:nbn:se:su:diva-38479OAI: oai:DiVA.org:su-38479DiVA: diva2:310353
Note
In the proceedings of The First Baltic Conference, Human Language Technologies - the Baltic Perspective, Riga, Latvia, April 21-22, 2004, pp. 93-97Available from: 2010-04-13 Created: 2010-04-13

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Citation style
  • apa
  • ieee
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