Search (3 results, page 1 of 1)

  • × author_ss:"Moens, M.-F."
  • × theme_ss:"Automatisches Abstracting"
  1. Moens, M.-F.: Summarizing court decisions (2007) 0.01
    0.0062625906 = product of:
      0.025050363 = sum of:
        0.010082305 = weight(_text_:information in 954) [ClassicSimilarity], result of:
          0.010082305 = score(doc=954,freq=2.0), product of:
            0.0742611 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042302497 = queryNorm
            0.13576832 = fieldWeight in 954, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0546875 = fieldNorm(doc=954)
        0.014968057 = product of:
          0.029936114 = sum of:
            0.029936114 = weight(_text_:retrieval in 954) [ClassicSimilarity], result of:
              0.029936114 = score(doc=954,freq=2.0), product of:
                0.12796146 = queryWeight, product of:
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.042302497 = queryNorm
                0.23394634 = fieldWeight in 954, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=954)
          0.5 = coord(1/2)
      0.25 = coord(2/8)
    
    Abstract
    In the field of law there is an absolute need for summarizing the texts of court decisions in order to make the content of the cases easily accessible for legal professionals. During the SALOMON and MOSAIC projects we investigated the summarization and retrieval of legal cases. This article presents some of the main findings while integrating the research results of experiments on legal document summarization by other research groups. In addition, we propose novel avenues of research for automatic text summarization, which we currently exploit when summarizing court decisions in the ACILA project. Techniques for automated concept learning and argument recognition are here the most challenging.
    Source
    Information processing and management. 43(2007) no.6, S.1748-1764
  2. Moens, M.-F.; Uyttendaele, C.: Automatic text structuring and categorization as a first step in summarizing legal cases (1997) 0.00
    0.0010802469 = product of:
      0.008641975 = sum of:
        0.008641975 = weight(_text_:information in 2256) [ClassicSimilarity], result of:
          0.008641975 = score(doc=2256,freq=2.0), product of:
            0.0742611 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042302497 = queryNorm
            0.116372846 = fieldWeight in 2256, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=2256)
      0.125 = coord(1/8)
    
    Source
    Information processing and management. 33(1997) no.6, S.727-737
  3. Moens, M.-F.; Uyttendaele, C.; Dumotier, J.: Abstracting of legal cases : the potential of clustering based on the selection of representative objects (1999) 0.00
    0.0010802469 = product of:
      0.008641975 = sum of:
        0.008641975 = weight(_text_:information in 2944) [ClassicSimilarity], result of:
          0.008641975 = score(doc=2944,freq=2.0), product of:
            0.0742611 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042302497 = queryNorm
            0.116372846 = fieldWeight in 2944, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=2944)
      0.125 = coord(1/8)
    
    Source
    Journal of the American Society for Information Science. 50(1999) no.2, S.151-161