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The effects of noisy data on text retrieval

Identifieur interne : 002F39 ( Main/Merge ); précédent : 002F38; suivant : 002F40

The effects of noisy data on text retrieval

Auteurs : Kazem Taghva [États-Unis] ; Julie Borsack [États-Unis] ; Allen Condit [États-Unis] ; Srinivas Erva [États-Unis]

Source :

RBID : ISTEX:C1D627CEAD1540857403C876222843BB33624964

Abstract

We report on the results of our experiments on query evaluation in the presence of noisy data. In particular, an OCR‐generated database and its corresponding 99.8% correct version are used to process a set of queries to determine the effect the degraded version will have on retrieval. It is shown that, with the set of scientific documents we use in our testing, the effect is insignificant. We further improve the result by applying an automatic postprocessing system designed to correct the kinds of errors generated by recognition devices. © 1994 John Wiley & Sons, Inc.

Url:
DOI: 10.1002/(SICI)1097-4571(199401)45:1<50::AID-ASI6>3.0.CO;2-B

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ISTEX:C1D627CEAD1540857403C876222843BB33624964

Le document en format XML

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