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dc.contributor.authorMilne, David N.
dc.contributor.authorWitten, Ian H.
dc.coverage.spatialConference held at Napa Valley, California, USAen_NZ
dc.date.accessioned2009-01-20T22:15:15Z
dc.date.available2009-01-20T22:15:15Z
dc.date.issued2008
dc.identifier.citationWitten, I.H. & Milne, D. (2008). Learning to link with Wikipedia. In Proceeding of the 17th ACM conference on Information and knowledge management, Napa Valley, California, USA, October 26-20, 2008(pp. 509-518).New York, NY, USA: ACM.en
dc.identifier.urihttps://hdl.handle.net/10289/1817
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.language.isoen
dc.publisherACMen
dc.relation.urihttp://portal.acm.org/citation.cfm?id=1458150en
dc.rightsThis is an author’s version of an article published in Proceeding of the 17th ACM conference on Information and knowledge management, Napa Valley, California, USA, October 26-20, 2008. © 2008 ACM.en
dc.sourceCIKM 2008en_NZ
dc.subjectcomputer scienceen
dc.subjectWikipediaen
dc.subjectdata miningen
dc.subjectsemantic annotationen
dc.subjectword sense disambiguationen
dc.titleLearning to link with Wikipediaen
dc.typeConference Contributionen
dc.identifier.doi10.1145/1458082.1458150en
dc.relation.isPartOfProc 17th ACM Conference on Information and Knowledge Managementen_NZ
pubs.begin-page509en_NZ
pubs.elements-id18150
pubs.end-page518en_NZ
pubs.finish-date2008-10-30en_NZ
pubs.start-date2008-10-26en_NZ


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