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dc.contributor.authorDarwish, Kareemen_US
dc.contributor.authorOard, Douglas W.en_US
dc.date.accessioned2004-05-31T23:26:48Z
dc.date.available2004-05-31T23:26:48Z
dc.date.created2003-02en_US
dc.date.issued2003-04-04en_US
dc.identifier.urihttp://hdl.handle.net/1903/1269
dc.description.abstractStructured methods for query term replacement rely on separate estimates of term frequency and document frequency to compute the weight for each query term. This paper reviews prior work on structured query techniques and introduces three new variants that leverage estimates of replacement probabilities. Statistically significant improvements in retrieval effectiveness are demonstrated for cross-language retrieval and for retrieval based on optical character recognition when replacement probabilities are used to estimate both term frequency and document frequency. UMIACS-TR-2003-27 LAMP-TR-102en_US
dc.format.extent159487 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4457en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-2003-27en_US
dc.relation.ispartofseriesLAMP-TR-102en_US
dc.titleProbabilistic Structured Query Methodsen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US


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