Search (6 results, page 1 of 1)

  • × theme_ss:"Automatisches Indexieren"
  • × theme_ss:"Computerlinguistik"
  • × type_ss:"a"
  • × year_i:[1990 TO 2000}
  1. Garfield, E.: ¬The relationship between mechanical indexing, structural linguistics and information retrieval (1992) 0.02
    0.018575516 = product of:
      0.055726547 = sum of:
        0.055726547 = product of:
          0.11145309 = sum of:
            0.11145309 = weight(_text_:indexing in 3632) [ClassicSimilarity], result of:
              0.11145309 = score(doc=3632,freq=6.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.5860202 = fieldWeight in 3632, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0625 = fieldNorm(doc=3632)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    It is possible to locate over 60% of indexing terms used in the Current List of Medical Literature by analysing the titles of the articles. Citation indexes contain 'noise' and lack many pertinent citations. Mechanical indexing or analysis of text must begin with some linguistic technique. Discusses Harris' methods of structural linguistics, discourse analysis and transformational analysis. Provides 3 examples with references, abstracts and index entries
  2. Fox, C.: Lexical analysis and stoplists (1992) 0.02
    0.015166845 = product of:
      0.045500536 = sum of:
        0.045500536 = product of:
          0.09100107 = sum of:
            0.09100107 = weight(_text_:indexing in 3502) [ClassicSimilarity], result of:
              0.09100107 = score(doc=3502,freq=4.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.47848347 = fieldWeight in 3502, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0625 = fieldNorm(doc=3502)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Lexical analysis is a fundamental operation in both query processing and automatic indexing, and filtering stoplist words is an important step in the automatic indexing process. Presents basic algorithms and data structures for lexical analysis, and shows how stoplist word removal can be efficiently incorporated into lexical analysis
  3. Driscoll, J.R.; Rajala, D.A.; Shaffer, W.H.: ¬The operation and performance of an artificially intelligent keywording system (1991) 0.01
    0.013270989 = product of:
      0.039812967 = sum of:
        0.039812967 = product of:
          0.079625934 = sum of:
            0.079625934 = weight(_text_:indexing in 6681) [ClassicSimilarity], result of:
              0.079625934 = score(doc=6681,freq=4.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.41867304 = fieldWeight in 6681, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=6681)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Presents a new approach to text analysis for automating the key phrase indexing process, using artificial intelligence techniques. This mimics the behaviour of human experts by using a rule base consisting of insertion and deletion rules generated by subject-matter experts. The insertion rules are based on the idea that some phrases found in a text imply or trigger other phrases. The deletion rules apply to semantically ambiguous phrases where text presence alone does not determine appropriateness as a key phrase. The insertion and deletion rules are used to transform a list of found phrases to a list of key phrases for indexing a document. Statistical data are provided to demonstrate the performance of this expert rule based system
  4. Malone, L.C.; Driscoll, J.R.; Pepe, J.W.: Modeling the performance of an automated keywording system (1991) 0.01
    0.01072458 = product of:
      0.032173738 = sum of:
        0.032173738 = product of:
          0.064347476 = sum of:
            0.064347476 = weight(_text_:indexing in 6682) [ClassicSimilarity], result of:
              0.064347476 = score(doc=6682,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.3383389 = fieldWeight in 6682, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0625 = fieldNorm(doc=6682)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Presents a model for predicting the performance of a computerised keyword assigning and indexing system. Statistical procedures were investigated in order to protect against incorrect keywording by the system behaving as an expert system designed to mimic the behaviour of human keyword indexers and representing lessons learned from military exercises and operations
  5. Polity, Y.: Vers une ergonomie linguistique (1994) 0.01
    0.01072458 = product of:
      0.032173738 = sum of:
        0.032173738 = product of:
          0.064347476 = sum of:
            0.064347476 = weight(_text_:indexing in 36) [ClassicSimilarity], result of:
              0.064347476 = score(doc=36,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.3383389 = fieldWeight in 36, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0625 = fieldNorm(doc=36)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Analyzed a special type of man-mchine interaction, that of searching an information system with natural language. A model for full text processing for information retrieval was proposed that considered the system's users and how they employ information. Describes how INIST (the National Institute for Scientific and Technical Information) is developing computer assisted indexing as an aid to improving relevance when retrieving information from bibliographic data banks
  6. Riloff, E.: ¬An empirical study of automated dictionary construction for information extraction in three domains (1996) 0.01
    0.008975455 = product of:
      0.026926363 = sum of:
        0.026926363 = product of:
          0.053852726 = sum of:
            0.053852726 = weight(_text_:22 in 6752) [ClassicSimilarity], result of:
              0.053852726 = score(doc=6752,freq=2.0), product of:
                0.17398734 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.049684696 = queryNorm
                0.30952093 = fieldWeight in 6752, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0625 = fieldNorm(doc=6752)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Date
    6. 3.1997 16:22:15

Languages