Scalability of Redundancy Detection in Focused Document Collections
Published 1 January 2002
Dick Crouch, Cleo Condoravdi, R. Stollé, Tracy Holloway King, Valeria de Paiva, John O. Everett
Citations18
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TL;DR
This work describes the application of primarily symbolic methods to the task of detecting logical redundancies and inconsistencies between documents in a medium sized, domain focused collection (1000–40,000 documents).
Abstract
We describe the application of primarily symbolic methods to the task of detecting logical redundancies and inconsistencies between documents in a medium sized, domain focused collection (1000–40,000 documents). Initial investigations indicate good scalability prospects, especially for syntactic and semantic processing. The difficult and largely neglected task of mapping from linguistic/semantic representations to domain tailored knowledge representations is potentially more of a bottle-
Keywords
Computer Science
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