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dc.contributor.authorWitten, Ian H.
dc.contributor.authorMilne, David N.
dc.coverage.spatialConference held at Chicago, USA:en_NZ
dc.date.accessioned2009-01-13T03:05:25Z
dc.date.available2009-01-13T03:05:25Z
dc.date.issued2008
dc.identifier.citationWitten, I.H. & Milne, D. (2008). An effective, low-cost measure of semantic relatedness obtained from Wikipedia links. In Proceeding of AAAI Workshop on Wikipedia and Artificial Intelligence: an Evolving Synergy, AAAI Press, Chicago, USA, 13 July, 2008. (pp. 25-30).en
dc.identifier.urihttps://hdl.handle.net/10289/1777
dc.description.abstractThis paper describes a new technique for obtaining measures of semantic relatedness. Like other recent approaches, it uses Wikipedia to provide structured world knowledge about the terms of interest. Out approach is unique in that it does so using the hyperlink structure of Wikipedia rather than its category hierarchy or textual content. Evaluation with manually defined measures of semantic relatedness reveals this to be an effective compromise between the ease of computation of the former approach and the accuracy of the latter.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherAAAI Pressen
dc.relation.urihttp://www.aaai.org/Papers/Workshops/2008/WS-08-15/WS08-15-005.pdfen
dc.rightsThis is an author’s version of an article published in Proceeding of AAAI Workshop on Wikipedia and Artificial Intelligence: an Evolving Synergy, AAAI Press, Chicago, USA, 13 July, 2008.en
dc.subjectcomputer scienceen
dc.subjectWikipediaen
dc.titleAn effective, low-cost measure of semantic relatedness obtained from Wikipedia linksen
dc.typeConference Contributionen
dc.relation.isPartOfProc AAAI Workshop on Wikipedia and Artificial Intelligence: an Evolving Synergyen_NZ
pubs.begin-page25en_NZ
pubs.elements-id18154
pubs.end-page30en_NZ
pubs.finish-date2008-07-13en_NZ
pubs.start-date2008-07-13en_NZ
pubs.volumeAAAI Technical Report WS-08-15en_NZ


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