Search (6 results, page 1 of 1)

  • × theme_ss:"Automatisches Abstracting"
  • × year_i:[1990 TO 2000}
  1. Jones, P.A.; Bradbeer, P.V.G.: Discovery of optimal weights in a concept selection system (1996) 0.06
    0.05908383 = product of:
      0.11816766 = sum of:
        0.11816766 = sum of:
          0.061605897 = weight(_text_:systems in 6974) [ClassicSimilarity], result of:
            0.061605897 = score(doc=6974,freq=4.0), product of:
              0.16037072 = queryWeight, product of:
                3.0731742 = idf(docFreq=5561, maxDocs=44218)
                0.052184064 = queryNorm
              0.38414678 = fieldWeight in 6974, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                3.0731742 = idf(docFreq=5561, maxDocs=44218)
                0.0625 = fieldNorm(doc=6974)
          0.056561764 = weight(_text_:22 in 6974) [ClassicSimilarity], result of:
            0.056561764 = score(doc=6974,freq=2.0), product of:
              0.1827397 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.052184064 = queryNorm
              0.30952093 = fieldWeight in 6974, 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=6974)
      0.5 = coord(1/2)
    
    Abstract
    Describes the application of weighting strategies to model uncertainties and probabilities in automatic abstracting systems, particularly in the concept selection phase. The weights were originally assigned in an ad hoc manner and were then refined by manual analysis of the results. The new method attempts to derive a more systematic methods and performs this using a genetic algorithm
    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
  2. Robin, J.; McKeown, K.: Empirically designing and evaluating a new revision-based model for summary generation (1996) 0.05
    0.050061855 = product of:
      0.10012371 = sum of:
        0.10012371 = sum of:
          0.043561947 = weight(_text_:systems in 6751) [ClassicSimilarity], result of:
            0.043561947 = score(doc=6751,freq=2.0), product of:
              0.16037072 = queryWeight, product of:
                3.0731742 = idf(docFreq=5561, maxDocs=44218)
                0.052184064 = queryNorm
              0.2716328 = fieldWeight in 6751, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.0731742 = idf(docFreq=5561, maxDocs=44218)
                0.0625 = fieldNorm(doc=6751)
          0.056561764 = weight(_text_:22 in 6751) [ClassicSimilarity], result of:
            0.056561764 = score(doc=6751,freq=2.0), product of:
              0.1827397 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.052184064 = queryNorm
              0.30952093 = fieldWeight in 6751, 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=6751)
      0.5 = coord(1/2)
    
    Abstract
    Presents a system for summarizing quantitative data in natural language, focusing on the use of a corpus of basketball game summaries, drawn from online news services, to empirically shape the system design and to evaluate the approach. Initial corpus analysis revealed characteristics of textual summaries that challenge the capabilities of current language generation systems. A revision based corpus analysis was used to identify and encode the revision rules of the system. Presents a quantitative evaluation, using several test corpora, to measure the robustness of the new revision based model
    Date
    6. 3.1997 16:22:15
  3. Goh, A.; Hui, S.C.: TES: a text extraction system (1996) 0.01
    0.014140441 = product of:
      0.028280882 = sum of:
        0.028280882 = product of:
          0.056561764 = sum of:
            0.056561764 = weight(_text_:22 in 6599) [ClassicSimilarity], result of:
              0.056561764 = score(doc=6599,freq=2.0), product of:
                0.1827397 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052184064 = queryNorm
                0.30952093 = fieldWeight in 6599, 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=6599)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    26. 2.1997 10:22:43
  4. McKeown, K.; Robin, J.; Kukich, K.: Generating concise natural language summaries (1995) 0.01
    0.013613109 = product of:
      0.027226217 = sum of:
        0.027226217 = product of:
          0.054452434 = sum of:
            0.054452434 = weight(_text_:systems in 2932) [ClassicSimilarity], result of:
              0.054452434 = score(doc=2932,freq=2.0), product of:
                0.16037072 = queryWeight, product of:
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.052184064 = queryNorm
                0.339541 = fieldWeight in 2932, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.078125 = fieldNorm(doc=2932)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Description of the problems for summary generation, the applications developed (for basket ball games - STREAK and for telephone network planning activity - PLANDOC), the linguistic constructions that the systems use to convey information concisely and the textual constraints that determine what information gets included
  5. Brandow, R.; Mitze, K.; Rau, L.F.: Automatic condensation of electronic publications by sentence selection (1995) 0.01
    0.010890487 = product of:
      0.021780973 = sum of:
        0.021780973 = product of:
          0.043561947 = sum of:
            0.043561947 = weight(_text_:systems in 2929) [ClassicSimilarity], result of:
              0.043561947 = score(doc=2929,freq=2.0), product of:
                0.16037072 = queryWeight, product of:
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.052184064 = queryNorm
                0.2716328 = fieldWeight in 2929, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.0625 = fieldNorm(doc=2929)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Description of a system that performs domain-independent automatic condensation of news from a large commercial news service encompassing 41 different publications. This system was evaluated against a system that condensed the same articles using only the first portions of the texts (the löead), up to the target length of the summaries. 3 lengths of articles were evaluated for 250 documents by both systems, totalling 1.500 suitability judgements in all. The lead-based summaries outperformed the 'intelligent' summaries significantly, achieving acceptability ratings of over 90%, compared to 74,7%
  6. Endres-Niggemeyer, B.: Summarizing information (1998) 0.01
    0.008167865 = product of:
      0.01633573 = sum of:
        0.01633573 = product of:
          0.03267146 = sum of:
            0.03267146 = weight(_text_:systems in 688) [ClassicSimilarity], result of:
              0.03267146 = score(doc=688,freq=2.0), product of:
                0.16037072 = queryWeight, product of:
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.052184064 = queryNorm
                0.2037246 = fieldWeight in 688, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.046875 = fieldNorm(doc=688)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Summarizing is the process of reducing the large information size of something like a novel or a scientific paper to a short summary or abstract comprising only the most essential points. Summarizing is frequent in everyday communication, but it is also a professional skill for journalists and others. Automated summarizing functions are urgently needed by Internet users who wish to avoid being overwhelmed by information. This book presents the state of the art and surveys related research; it deals with everyday and professional summarizing as well as computerized approaches. The author focuses in detail on the cognitive pro-cess involved in summarizing and supports this with a multimedia simulation systems on the accompanying CD-ROM