Roger B. Bradford

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The technique of latent semantic indexing (LSI) has wide applicability in information retrieval and data mining tasks. To date, however, most applications of LSI have addressed relatively small collections of data. This has been due partly to hardware and software limitations and partly to overly pessimistic estimates of the processing requirements of the(More)
In many intelligence and security informatics applications, named entities constitute a particularly important element of queries and analytic operations. In such applications, variations in the rendering of entity names present a pervasive problem. The problem is most frequently encountered when dealing with names of persons. For person names, a wide(More)
The growing internationalization of business and social interactions poses significant challenges in implementing multilingual information systems. For applications requiring retrieval, clustering, and categorization of multilingual document collections, cross-lingual application of latent semantic indexing (LSI) has a number of characteristics that make it(More)
The technique of latent semantic indexing is used in a wide variety of commercial applications. In these applications, the processing time and RAM required for SVD computation, and the processing time and RAM required during LSI retrieval operations are all roughly linear in the number of dimensions, k, chosen for the LSI representation space. In(More)