Search (3 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Automatisches Indexieren"
  • × theme_ss:"Volltextretrieval"
  1. Wacholder, N.; Byrd, R.J.: Retrieving information from full text using linguistic knowledge (1994) 0.00 
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    Abstract
    Examines how techniques in the field of natural language processing can be applied to the analysis of text in information retrieval. State of the art text searching programs cannot distinguish, for example, between occurrences of the sickness, AIDS and aids as tool or between library school and school nor equate such terms as online or on-line which are variants of the same form. To make these distinction, systems must incorporate knowledge about the meaning of words in context. Research in natural language processing has concentrated on the automatic 'understanding' of language; how to analyze the grammatical structure and meaning of text. Although many asoects of this research remain experimental, describes how these techniques to recognize spelling variants, names, acronyms, and abbreviations
    Imprint
    Medford, NJ : Learned Information
  2. Salton, G.: Another look at automatic text-retrieval systems (1986) 0.00 
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    Footnote
    Bezugnahme auf: Blair, D.C.: An evaluation of retrieval effectiveness for a full-text document-retrieval system. Comm. ACM 28(1985) S.280-299. - Vgl. auch: Blair, D.C.: Full text retrieval ... Int. Class. 13(1986) S.18-23; Blair, D.C., M.E. Maron: full-text information retrieval ... Inf. Proc. Man. 26(1990) S.437-447.
  3. Molto, M.: Improving full text search performance through textual analysis (1993) 0.00 
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    Source
    Information processing and management. 29(1993) no.5, S.614-632

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