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  • × author_ss:"Salton, G."
  1. Salton, G.: Automated language processing (1968) 0.07
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    Source
    Annual review of information science and technology. 3(1968), S.137-168
  2. Salton, G.: ¬A new comparison between conventional indexing (MEDLARS) and automatic text processing (SMART) (1972) 0.06
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    Source
    Journal of the American Society for Information Science. 23(1972), S.75-84
  3. Salton, G.: Automatic text processing : the transformation, analysis, and retrieval of information by computer (1989) 0.04
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    Series
    Addison-Wesley series in computer science
  4. Salton, G.: ¬A simple blueprint for automatic Boolean query processing (1988) 0.04
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    Source
    Information processing and management. 24(1988) no.3, S.269-280
  5. Salton, G.; Voorhees, E.; Fox, E.A.: ¬A comparison of two methods for Boolean query relevance feedback (1984) 0.03
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    Source
    Information processing and management. 20(1984), S.637-651
  6. Salton, G.; Waldstein, R.H.: Term relevance weights in on-line information retrieval (1978) 0.03
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    Source
    Information processing and management. 14(1978), S.20-35
  7. Salton, G.; Buckley, C.; Smith, M.: On the application of syntactic methodologies in automatic text analysis (1990) 0.03
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    Source
    Information processing and management. 26(1990) no.1, S.73-92
  8. Salton, G.: Automatic processing of foreign language documents (1985) 0.03
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    Abstract
    The attempt to computerize a process, such as indexing, abstracting, classifying, or retrieving information, begins with an analysis of the process into its intellectual and nonintellectual components. That part of the process which is amenable to computerization is mechanical or algorithmic. What is not is intellectual or creative and requires human intervention. Gerard Salton has been an innovator, experimenter, and promoter in the area of mechanized information systems since the early 1960s. He has been particularly ingenious at analyzing the process of information retrieval into its algorithmic components. He received a doctorate in applied mathematics from Harvard University before moving to the computer science department at Cornell, where he developed a prototype automatic retrieval system called SMART. Working with this system he and his students contributed for over a decade to our theoretical understanding of the retrieval process. On a more practical level, they have contributed design criteria for operating retrieval systems. The following selection presents one of the early descriptions of the SMART system; it is valuable as it shows the direction automatic retrieval methods were to take beyond simple word-matching techniques. These include various word normalization techniques to improve recall, for instance, the separation of words into stems and affixes; the correlation and clustering, using statistical association measures, of related terms; and the identification, using a concept thesaurus, of synonymous, broader, narrower, and sibling terms. They include, as weIl, techniques, both linguistic and statistical, to deal with the thorny problem of how to automatically extract from texts index terms that consist of more than one word. They include weighting techniques and various documentrequest matching algorithms. Significant among the latter are those which produce a retrieval output of citations ranked in relevante order. During the 1970s, Salton and his students went an to further refine these various techniques, particularly the weighting and statistical association measures. Many of their early innovations seem commonplace today. Some of their later techniques are still ahead of their time and await technological developments for implementation. The particular focus of the selection that follows is an the evaluation of a particular component of the SMART system, a multilingual thesaurus. By mapping English language expressions and their German equivalents to a common concept number, the thesaurus permitted the automatic processing of German language documents against English language queries and vice versa. The results of the evaluation, as it turned out, were somewhat inconclusive. However, this SMART experiment suggested in a bold and optimistic way how one might proceed to answer such complex questions as What is meant by retrieval language compatability? How it is to be achieved, and how evaluated?
    Footnote
    Original in: Journal of the American Society for Information Science 21(1970) no.3, S.187-194.
  9. Salton, G.; Lesk, M.E.: Computer evaluation of indexing and text processing (1968) 0.02
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  10. Salton, G.; Buckley, C.: Term-weighting approaches in automatic text retrieval (1988) 0.02
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    Source
    Information processing and management. 24(1988) no.5, S.513-523
  11. Salton, G.: Thoughts about modern retrieval technologies (1988) 0.02
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    Abstract
    Paper presented at the 30th Annual Conference of the National Federation of Astracting and Information Services, Philadelphia, 28 Feb-2 Mar 88. In recent years, the amount and the variety of available machine-readable data, new technologies have been introduced, such as high density storage devices, and fancy graphic displays useful for information transformation and access. New approaches have also been considered for processing the stored data based on the construction of knowledge bases representing the contents and structure of the information, and the use of expert system techniques to control the user-system interactions. Provides a brief evaluation of the new information processing technologies, and of the software methods proposed for information manipulation.
  12. Salton, G.; Allan, J.; Singhal, A.: Automatic text decomposition and structuring (1996) 0.02
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    Source
    Information processing and management. 32(1996) no.2, S.127-138
  13. Salton, G.: ¬The state of retrieval system evaluation (1992) 0.02
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    Source
    Information processing and management. 28(1992) no.4, S.441-449
  14. Salton, G.; Allan, J.; Buckley, C.; Singhal, A.: Automatic analysis, theme generation, and summarization of machine readable texts (1994) 0.02
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    Date
    16. 8.1998 12:30:29
    Source
    Science. 264(1994), S.1421-1426
  15. Salton, G.: Automatic text structuring and summarization (1997) 0.01
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    Source
    Information processing and management. 33(1997) no.2, S.193-207
  16. Buckley, C.; Allan, J.; Salton, G.: Automatic routing and retrieval using Smart : TREC-2 (1995) 0.01
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    Source
    Information processing and management. 31(1995) no.3, S.315-326
  17. Salton, G.: Mathematics and information retrieval (1979) 0.01
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    Abstract
    The development of a given discipline in science and technology often depends on the availability of theorie capable of describing the processes which control the field and of modelling the interactions between the processes. The absence of an accepted theory of information retrieval has benn blamed for the relative disorder and the lack of technical advances in the area. The main mathematical approaches to information retrieval are examined in this study, including both algebraic and probabilistic models, and the difficulties which impede the formalization of information retrieval processes are described. A number of developments are covered where new theoretical understandings have directly led to the improvemenet of retrieval techniques and operations
    Source
    Journal of documentation. 35(1979) no.1, S.1-29
  18. Salton, G.; Yang, C.S.: On the specification of term values in automatic indexing (1973) 0.01
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    Source
    Journal of documentation. 29(1973), S.351-372
  19. Salton, G.: Another look at automatic text-retrieval systems (1986) 0.00
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    Source
    Communications of the Association for Computing Machinery. 29(1986), S.648-656
  20. Salton, G.: Historical note: the past thirty years in information retrieval (1987) 0.00
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    Source
    Journal of the American Society for Information Science. 38(1987) no.5, S.375-380