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  • × author_ss:"Sparck Jones, K."
  1. Strzalkowski, T.; Sparck Jones, K.: NLP track at TREC-5 (1997) 0.02
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    Year
    1997
  2. Lewis, D.D.; Sparck Jones, K.: Natural language processing for information retrieval (1997) 0.02
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    Source
    From classification to 'knowledge organization': Dorking revisited or 'past is prelude'. A collection of reprints to commemorate the firty year span between the Dorking Conference (First International Study Conference on Classification Research 1957) and the Sixth International Study Conference on Classification Research (London 1997). Ed.: A. Gilchrist
    Year
    1997
  3. Sparck Jones, K.: Search term relevance weighting given little relevance information (1979) 0.02
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.329-338.
  4. Sparck Jones, K.: Reflections on TREC (1997) 0.02
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    Source
    From classification to 'knowledge organization': Dorking revisited or 'past is prelude'. A collection of reprints to commemorate the firty year span between the Dorking Conference (First International Study Conference on Classification Research 1957) and the Sixth International Study Conference on Classification Research (London 1997). Ed.: A. Gilchrist
    Year
    1997
  5. Robertson, S.E.; Sparck Jones, K.: Simple, proven approaches to text retrieval (1997) 0.02
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    Abstract
    This technical note describes straightforward techniques for document indexing and retrieval that have been solidly established through extensive testing and are easy to apply. They are useful for many different types of text material, are viable for very large files, and have the advantage that they do not require special skills or training for searching, but are easy for end users. The document and text retrieval methods described here have a sound theoretical basis, are well established by extensive testing, and the ideas involved are now implemented in some commercial retrieval systems. Testing in the last few years has, in particular, shown that the methods presented here work very well with full texts, not only title and abstracts, and with large files of texts containing three quarters of a million documents. These tests, the TREC Tests (see Harman 1993 - 1997; IP&M 1995), have been rigorous comparative evaluations involving many different approaches to information retrieval. These techniques depend an the use of simple terms for indexing both request and document texts; an term weighting exploiting statistical information about term occurrences; an scoring for request-document matching, using these weights, to obtain a ranked search output; and an relevance feedback to modify request weights or term sets in iterative searching. The normal implementation is via an inverted file organisation using a term list with linked document identifiers, plus counting data, and pointers to the actual texts. The user's request can be a word list, phrases, sentences or extended text.
    Issue
    May, 1997, Update of 1994 and 1996 versions.
    Year
    1997
  6. Sparck Jones, K.; Jones, G.J.F.; Foote, J.T.; Young, S.J.: Experiments in spoken document retrieval (1996) 0.01
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    Footnote
    Wiederabdruck in: Readings in informatio retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.493-502.
  7. Sparck Jones, K.; Galliers, J.R.: Evaluating natural language processing systems : an analysis and review (1996) 0.01
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    Footnote
    Rez. in: Machine translation 12(1997) no.4, S.375-379 (D. Estival)