Search (9 results, page 1 of 1)

  • × author_ss:"Croft, W.B."
  1. Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987) 0.03
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    Source
    Annual review of information science and technology. 22(1987), S.109-145
  2. Croft, W.B.: Knowledge-based and statistical approaches to text retrieval (1993) 0.02
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    Source
    IEEE expert intelligent systems and their applications. 8(1993) no.2, S.8-12
  3. Croft, W.B.; Thompson, R.H.: I3R: a new approach to the desing of document retrieval systems (1987) 0.02
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  4. Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997) 0.02
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    Date
    27. 2.1999 20:55:22
  5. Croft, W.B.: Hypertext and information retrieval : what are the fundamental concepts? (1990) 0.02
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    Source
    Hypertext: concepts, systems and applications: Proceedings of the First European Conference on Hypertext, INRIA, France, Nov. 1990. Ed.: N. Streitz et al
  6. Croft, W.B.: What do people want from information retrieval? : the top 10 research issues for companies that use and sell IR systems (1995) 0.02
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  7. Croft, W.B.: Advances in information retrieval : Recent research from the Center for Intelligent Information Retrieval (2000) 0.01
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    LCSH
    Multimedia systems
    Subject
    Multimedia systems
  8. Krovetz, R.; Croft, W.B.: Lexical ambiguity and information retrieval (1992) 0.01
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    Source
    ACM transactions on information systems. 10(1992) no.2, S.115-141
  9. Jing, Y.; Croft, W.B.: ¬An association thesaurus for information retrieval (199?) 0.01
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    Abstract
    Although commonly used in both commercial and experimental information retrieval systems, thesauri have not demonstrated consistent benefits for retrieval performance, and it is difficult to construct a thesaurus automatically for large text databases. In this paper, an approach, called PhraseFinder, is proposed to construct collection-dependent association thesauri automatically using large full-text document collections. The association thesaurus can be accessed through natural language queries in INQUERY, an information retrieval system based on the probabilistic inference network. Experiments are conducted in INQUERY to evaluate different types of association thesauri, and thesauri constructed for a variety of collections