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  • × author_ss:"Sparck Jones, K."
  1. Sparck Jones, K.: ¬The role of artificial intelligence in information retrieval (1991) 0.01
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    Abstract
    Presents a view of the scope of artificial intelligence (AI) in information retrieval (IR). Considers potential roles of AI and IR, evaluating AI from a realistic point od view and within a wide information management potential, not just because AI is itself insufficiently developed, but because many information management tasks are properly shallow information processing ones. There is nevertheless an important place for specific applications of AI or AI-derived technology when particular constraints can be placed on the information management tasks involved
  2. Sparck Jones, K.: Fashionable trends and feasible strategies in information management (1988) 0.01
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    Abstract
    This article analyzes current trends in information management, considers the problems they involve, and suggests some strategies for tackling these problems. The current goal is integrated, personalized information systems, to be reached via artificial intelligence. The argument is that the extent to which this goal can be achieved is limited because these systems are intrinsically heterogeneous, are for access to information, and deal in linguistically expressed information; so the best strategy for building the systems that can be attained is via linguisticallay oriented knowledge and inference. Evaluating these systems also presents problems because each use is unique, but evaluation is much needed and large-sample strategies for performance study can be devised.
    Source
    Information processing and management. 24(1988), S.703-711
  3. Sparck Jones, K.; Walker, S.; Robertson, S.E.: ¬A probabilistic model of information retrieval : development and comparative experiments - part 1 (2000) 0.01
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    Source
    Information processing and management. 36(2000) no.6, S.779-808
  4. Sparck Jones, K.; Walker, S.; Robertson, S.E.: ¬A probabilistic model of information retrieval : development and comparative experiments - part 2 (2000) 0.01
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    Source
    Information processing and management. 36(2000) no.6, S.809-840
  5. Sparck Jones, K.: Some thoughts on classification for retrieval (1970) 0.01
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    Abstract
    The suggestion that classifications for retrieval should be constructed automatically raises some serious problems concerning the sorts of classification which are required, and the way in which formal classification theories should be exploited, given that a retrieval classification is required for a purpose. These difficulties have not been sufficiently considered, and the paper therefore attempts an analysis of them, though no solution of immediate application can be suggested. Starting with the illustrative proposition that a polythetic, multiple, unordered classification is required in automatic thesaurus construction, this is considered in the context of classification in general, where eight sorts of classification can be distinguished, each covering a range of class definitions and class-finding algorithms. The problem which follows is that since there is generally no natural or best classification of a set of objects as such, the evaluation of alternative classifications requires either formal criteria of goodness of fit, or, if a classification is required for a purpose, a precises statement of that purpose. In any case a substantive theory of classification is needed, which does not exist; and since sufficiently precise specifications of retrieval requirements are also lacking, the only currently available approach to automatic classification experiments for information retrieval is to do enough of them
  6. Sparck Jones, K.: Some thoughts on classification for retrieval (2005) 0.01
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    Abstract
    Purpose - This paper was originally published in 1970 (Journal of documentation. 26(1970), S.89-101), considered the suggestion that classifications for retrieval should be constructed automatically and raised some serious problems concerning the sorts of classification which were required, and the way in which formal classification theories should be exploited, given that a retrieval classification is required for a purpose. These difficulties had not been sufficiently considered, and the paper, therefore, aims to attempt an analysis of them, though no solutions of immediate application could be suggested. Design/methodology/approach - Starting with the illustrative proposition that a polythetic, multiple, unordered classification is required in automatic thesaurus construction, this is considered in the context of classification in general, where eight sorts of classification can be distinguished, each covering a range of class definitions and class-finding algorithms. Findings - Since there is generally no natural or best classification of a set of objects as such, the evaluation of alternative classifications requires either formal criteria of goodness of fit, or, if a classification is required for a purpose, a precise statement of that purpose. In any case a substantive theory of classification is needed, which does not exist; and, since sufficiently precise specifications of retrieval requirements are also lacking, the only currently available approach to automatic classification experiments for information retrieval is to do enough of them. Originality/value - Gives insights into the classification of material for information retrieval.
  7. Sparck Jones, K.: Reflections on TREC : TREC-2 (1995) 0.01
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    Source
    Information processing and management. 31(1995) no.3, S.291-314
  8. Sparck Jones, K.; Endres-Niggemeyer, B.: Introduction: automatic summarizing (1995) 0.01
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    Source
    Information processing and management. 31(1995) no.5, S.625-630
  9. 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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    Source
    Information processing and management. 32(1996) no.4, S.399-417
  10. Sparck Jones, K.: Reflections on TREC (1997) 0.00
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    Footnote
    Wiederabdruck aus: Information processing and management 31(1995) no.3, S.192-314
  11. Sparck Jones, K.: Automatic summarising : the state of the art (2007) 0.00
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    Source
    Information processing and management. 43(2007) no.6, S.1449-1481