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Discovering term occurrence structure in text

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  • Abraham Bookstein
  • T. Raita

Abstract

This article examines some consequences for information control of the tendency of occurrences of content‐bearing terms to appear together, or clump. Properties of previously defined clumping measures are reviewed and extended, and the significance of these measures for devising retrieval strategies discussed. A new type of clumping measure, which extends the earlier measures by permitting gaps within a clump, is defined, and several variants examined. Experiments are carried out that indicate the relation between the new measure and one of the earlier measures, as well as the ability of the two types of measure to predict compression efficiency.

Suggested Citation

  • Abraham Bookstein & T. Raita, 2001. "Discovering term occurrence structure in text," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(6), pages 476-486.
    • Handle: RePEc:bla:jamist:v:52:y:2001:i:6:p:476-486
    DOI: 10.1002/1532-2890(2001)9999:99993.0.CO;2-N
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    Cited by:

    1. Omwoyo Bosire Onyancha & Dennis N. Ocholla, 2009. "Is HIV/AIDS in Africa distinct? What can we learn from an analysis of the literature?," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 277-296, May.

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