Search (16 results, page 1 of 1)

  • × author_ss:"Salton, G."
  • × year_i:[1990 TO 2000}
  1. Salton, G.; Allen, J.; Buckley, C.; Singhal, A.: Automatic analysis, theme generation, and summarization of machine-readable data (1994) 0.00
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    Type
    a
  2. Salton, G.; Araya, J.: On the use of clustered file organizations in information search and retrieval (1990) 0.00
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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. Buckley, C.; Singhal, A.; Mitra, M.; Salton, G.: New retrieval approaches using SMART : TREC 4 (1996) 0.00
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    Type
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  4. Salton, G.; Allan, J.: Selective text utilization and text traversal (1995) 0.00
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    Type
    a
  5. Salton, G.: ¬A note about information science research (1997) 0.00
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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
    Type
    a
  6. Buckley, C.; Allan, J.; Salton, G.: Automatic routing and retrieval using Smart : TREC-2 (1995) 0.00
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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
    Type
    a
  7. Salton, G.: Automatic text structuring and summarization (1997) 0.00
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    Abstract
    Applies the ideas from the automatic link generation research to automatic text summarisation. Using techniques for inter-document link generation, generates intra-document links between passages of a document. Based on the intra-document linkage pattern of a text, characterises the structure of the text. Applies the knowledge of text structure to do automatic text summarisation by passage extraction. Evaluates a set of 50 summaries generated using these techniques by comparing the to paragraph extracts constructed by humans. The automatic summarisation methods perform well, especially in view of the fact that the summaries generates by 2 humans for the same article are surprisingly dissimilar
    Footnote
    Contribution to a special issue on methods and tools for the automatic construction of hypertext
    Type
    a
  8. Salton, G.; Allan, J.; Buckley, C.; Singhal, A.: Automatic analysis, theme generation, and summarization of machine readable texts (1994) 0.00
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    Type
    a
  9. Salton, G.; Buckley, C.; Smith, M.: On the application of syntactic methodologies in automatic text analysis (1990) 0.00
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    Type
    a
  10. Salton, G.: Future prospects for text-based information retrieval (1990) 0.00
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    Type
    a
  11. Wong, S.K.M.; Yao, Y.Y.; Salton, G.; Buckley, C.: Evaluation of an adaptive linear model (1991) 0.00
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    Abstract
    Reports on the experimental evaluation of an adaptive linear model that constructs improved user query vectors from user preference judgements on a sample set of documents. The performance of this method is compared with that of the standard relevance feedback techniques. The experimental results seem to demonstrate the effectiveness of the adaptive method
    Type
    a
  12. Salton, G.; Buckley, C.; Allan, J.: Automatic structuring of text files (1992) 0.00
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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
    Type
    a
  13. Salton, G.; Allan, J.; Singhal, A.: Automatic text decomposition and structuring (1996) 0.00
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  14. Salton, G.; Buckley, C.: Approaches to global text analysis (1990) 0.00
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    Abstract
    Current approaches to the analysis of natural language text are not viable for documents of unrestricted scope. A global text analysis system is proposed designed to identify homogeneous text environments in which the meaning of text words and phrases remains unambiguous, and useful term relationships may be automatically determined. The proposed methods include document clustering methods, as well as comparisons of local document excerpts in specified global contexts, leading to structured text representations in which similar texts, or text excerpts, are appropriately linked
    Type
    a
  15. Salton, G.; Buckley, C.: Improving retrieval performance by relevance feedback (1990) 0.00
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  16. Salton, G.: ¬The state of retrieval system evaluation (1992) 0.00
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    Type
    a