Search (47 results, page 1 of 3)

  • × author_ss:"Salton, G."
  1. Salton, G.; Allan, J.; Buckley, C.; Singhal, A.: Automatic analysis, theme generation, and summarization of machine readable texts (1994) 0.07
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.478-483.
    Type
    a
  2. Salton, G.; Araya, J.: On the use of clustered file organizations in information search and retrieval (1990) 0.06
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    Source
    Library classification and its functions. Int. Conf. on ..., 20.-21.6.1989, Edmonton, Alberta. Ed.: A. Nitecki u. T. Fell
    Type
    a
  3. Salton, G.: Future prospects for text-based information retrieval (1990) 0.05
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    Source
    Pragmatische Aspekte beim Entwurf und Betrieb von Informationssystemen: Proc. des 1. Int. Symposiums für Informationswissenschaft, Universität Konstanz, 17.-19.10.1990. Hrsg.: J. Herget u. R. Kuhlen
    Type
    a
  4. Salton, G.; McGill, M. J.: Introduction to modern information retrieval (1983) 0.05
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    Theme
    Grundlagen u. Einführungen: Allgemeine Literatur
  5. Salton, G.; Lesk, M.E.: Computer evaluation of indexing and text processing (1968) 0.03
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.60-84.
    Type
    a
  6. Salton, G.; Buckley, C.: Term-weighting approaches in automatic text retrieval (1988) 0.03
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.323-328.
    Type
    a
  7. Buckley, C.; Allan, J.; Salton, G.: Automatic routing and retrieval using Smart : TREC-2 (1995) 0.03
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    Abstract
    The Smart information retrieval project emphazises completely automatic approaches to the understanding and retrieval of large quantities of text. The work in the TREC-2 environment continues, performing both routing and ad hoc experiments. The ad hoc work extends investigations into combining global similarities, giving an overall indication of how a document matches a query, with local similarities identifying a smaller part of the document that matches the query. The performance of ad hoc runs is good, but it is clear that full advantage of the available local information is not been taken advantage of. The routing experiments use conventional relevance feedback approaches to routing, but with a much greater degree of query expansion than was previously done. The length of a query vector is increased by a factor of 5 to 10 by adding terms found in previously seen relevant documents. This approach improves effectiveness by 30-40% over the original query
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  8. Salton, G.; Wong, A.; Yang, C.S.: ¬A vector space model for automatic indexing (1975) 0.03
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.273-280.
    Type
    a
  9. Salton, G.; McGill, M. J.: Information Retrieval: Grundlegendes für Informationswissenschaftler (1987) 0.03
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    Theme
    Grundlagen u. Einführungen: Allgemeine Literatur
  10. Salton, G.; Allan, J.: Selective text utilization and text traversal (1995) 0.02
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    Type
    a
  11. Salton, G.; Allen, J.; Buckley, C.; Singhal, A.: Automatic analysis, theme generation, and summarization of machine-readable data (1994) 0.02
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  12. Salton, G.; Buckley, C.; Allan, J.: Automatic structuring of text files (1992) 0.01
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    Abstract
    In many practical information retrieval situations, it is necessary to process heterogeneous text databases that vary greatly in scope and coverage and deal with many different subjects. In such an environment it is important to provide flexible access to individual text pieces and to structure the collection so that related text elements are identified and properly linked. Describes methods for the automatic structuring of heterogeneous text collections and the construction of browsing tools and access procedures that facilitate collection use. Illustrates these emthods with searches using a large automated encyclopedia
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  13. Salton, G.; Allan, J.; Singhal, A.: Automatic text decomposition and structuring (1996) 0.01
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  14. Salton, G.; Wong, A.: Generation and search of clustered files (1978) 0.00
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  15. Salton, G.; Voorhees, E.; Fox, E.A.: ¬A comparison of two methods for Boolean query relevance feedback (1984) 0.00
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  16. Salton, G.: ¬A simple blueprint for automatic Boolean query processing (1988) 0.00
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  17. Salton, G.: ¬A new comparison between conventional indexing (MEDLARS) and automatic text processing (SMART) (1972) 0.00
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  18. Buckley, C.; Singhal, A.; Mitra, M.; Salton, G.: New retrieval approaches using SMART : TREC 4 (1996) 0.00
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  19. Salton, G.; Buckley, C.: Parallel text search methods (1988) 0.00
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  20. Salton, G.; Fox, E.: Extended Boolean information retrieval (1983) 0.00
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