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Supervised query modeling using Wikipedia
Abstract We use Wikipedia articles to semantically We use Wikipedia articles to semantically inform the generation of query models. To this end, we apply supervised machine learning to automatically link queries to Wikipedia articles and sample terms from the linked articles to re-estimate the query model. On a recent large web corpus, we observe substantial gains in terms of both traditional metrics and diversity measures.raditional metrics and diversity measures.
Abstractsub We use Wikipedia articles to semantically We use Wikipedia articles to semantically inform the generation of query models. To this end, we apply supervised machine learning to automatically link queries to Wikipedia articles and sample terms from the linked articles to re-estimate the query model. On a recent large web corpus, we observe substantial gains in terms of both traditional metrics and diversity measures.raditional metrics and diversity measures.
Bibtextype misc  +
Citeulike 7730601  +
Doi 10.1145/1835449.1835660  +
Has author Edgar Meij + , Maarten de Rijke +
Has remote mirror http://59.108.48.12/proceedings/sigir/sigir2010/docs/p875.pdf  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 875-876  +
Title Supervised query modeling using Wikipedia +
Type unknown  +
Year 2010 +
Creation dateThis property is a special property in this wiki. 28 January 2012 21:10:31  +
Categories Publications without published in parameter  + , Publications without keywords parameter  + , Publications without license parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 February 2012 20:58:23  +
DateThis property is a special property in this wiki. 2010  +
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