Search (10 results, page 1 of 1)

  • × year_i:[1990 TO 2000}
  • × theme_ss:"Automatisches Abstracting"
  1. Jones, P.A.; Bradbeer, P.V.G.: Discovery of optimal weights in a concept selection system (1996) 0.02
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    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. Xianghao, G.; Yixin, Z.; Li, Y.: ¬A new method of news test understanding and abstracting based on speech acts theory (1998) 0.01
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    Abstract
    Presents a method for the automated analysis and comprehension of foreign affairs news produced by a Chinese news agency. Notes that the development of the method was prededed by a study of the structuring rules of the news. Describes how an abstract of the news story is produced automatically from the analysis. Stresses the main aim of the work which is to use specch act theory to analyse and classify sentences
  3. Su, H.: Automatic abstracting (1996) 0.01
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    Abstract
    Presents an introductory overview of research into the automatic construction of abstracts from the texts of documents. Discusses the origin and definition of automatic abstracting; reasons for using automatic abstracting; methods of automatic abstracting; and evaluation problems
  4. Salton, G.: Automatic text structuring and summarization (1997) 0.01
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    Abstract
    Applies the ideas from the automatic link generation research to automatic text summarisation. Using techniques for inter-document link generation, generates intra-document links between passages of a document. Based on the intra-document linkage pattern of a text, characterises the structure of the text. Applies the knowledge of text structure to do automatic text summarisation by passage extraction. Evaluates a set of 50 summaries generated using these techniques by comparing the to paragraph extracts constructed by humans. The automatic summarisation methods perform well, especially in view of the fact that the summaries generates by 2 humans for the same article are surprisingly dissimilar
    Footnote
    Contribution to a special issue on methods and tools for the automatic construction of hypertext
  5. Craven, T.C.: ¬A computer-aided abstracting tool kit (1993) 0.00
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    Abstract
    Describes the abstracting assistance features being prototyped in the TEXNET text network management system. Sentence weighting methods include: weithing negatively or positively on the stems in a selected passage; weighting on general lists of cue words, adjusting weights of selected segments; and weighting of occurrence of frequent stems. The user may adjust a number of parameters: the minimum strength of extracts; the threshold for frequent word/stems and the amount sentence weight is to be adjusted for each weighting type
  6. Salton, G.; Allan, J.; Buckley, C.; Singhal, A.: Automatic analysis, theme generation, and summarization of machine readable texts (1994) 0.00
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    Date
    16. 8.1998 12:30:29
  7. Craven, T.C.: ¬A phrase flipper for the assistance of writers of abstracts and other text (1995) 0.00
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    Date
    17. 8.1996 10:29:59
  8. Goh, A.; Hui, S.C.: TES: a text extraction system (1996) 0.00
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    Date
    26. 2.1997 10:22:43
  9. Robin, J.; McKeown, K.: Empirically designing and evaluating a new revision-based model for summary generation (1996) 0.00
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    Date
    6. 3.1997 16:22:15
  10. Uyttendaele, C.; Moens, M.-F.; Dumortier, J.: SALOMON: automatic abstracting of legal cases for effective access to court decisions (1998) 0.00
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    Date
    17. 7.1996 14:16:29