Change search
CiteExportLink to record
Permanent link

Direct link
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
Word sense disambiguation med Svenskt OrdNät
University of Borås, Swedish School of Library and Information Science.
University of Borås, Swedish School of Library and Information Science.
2006 (Swedish)Independent thesis Advanced level (degree of Master (One Year))Student thesisAlternative title
Word sense disambiguation with Swedish WordNet (English)
Abstract [en]

In information retrieval there is a problem with ambiguous words. To solve this problem word sense disambiguation WSD is used. Few studies combining information retrieval and word sense disambiguation have been conducted with Swedish words. The purpose of this thesis has been divided in two. The first purpose was to examine Swedish information retrieval and disambiguation in the query phase. The second purpose was to compare the disambiguation between automatic and manual expansion. We chose a number of topics from the GP_HDINF test collection in Query Performance Analyser QPA. The topics we chose had to have more than ten relevant documents so that expansion would be possible. According to the rules of the automatic expansion we were to choose relations in the following order; synonyms, hyponyms, hypernyms. If such relations did not exist the topic was rejected. This left us with 14 topics. We made a baseline query with inflections of the Swedish words. Our baseline query was expanded once automatically using the sense that the Lesk algorithm chose from the Swedish WordNet and once manually by the authors. We compared precision and recall from our baseline with precision and recall from both the automatic and the manual expansions. Our study shows that the Lesk algorithm performs 60 % correct disambiguation and that manual expansion performs better than automatic expansion. The difference between automatic WSD and manual WSD is negligible and we suggest the use of automatic WSD to overcome the problems in IR because it saves the user a lot of time.

Place, publisher, year, edition, pages
University College of Borås. Swedish School of Library and Information Science (SSLIS) , 2006.
Series
Magisteruppsats i biblioteks- och informationsvetenskap vid Bibliotekshögskolan/Biblioteks- och informationsvetenskap, ISSN 1404-0891 ; 2006:34
Keywords [en]
library and information science
Keywords [sv]
biblioteks- och informationsvetenskap
National Category
Social Sciences
Identifiers
URN: urn:nbn:se:hb:diva-18220Local ID: 2320/1449OAI: oai:DiVA.org:hb-18220DiVA, id: diva2:1310135
Note
Uppsatsnivå: DAvailable from: 2019-04-30 Created: 2019-04-30

Open Access in DiVA

fulltext(546 kB)26 downloads
File information
File name FULLTEXT01.pdfFile size 546 kBChecksum SHA-512
fddf2a9fb87bb7bd6cdbaa35a697ac69c3b959dc7933b9b6537f3b286b218f0b028b269a9ebb7aab521f38cc4a75be436859cdab675d916f36b23b5df7f77c64
Type fulltextMimetype application/pdf

By organisation
Swedish School of Library and Information Science
Social Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 26 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 6 hits
CiteExportLink to record
Permanent link

Direct link
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