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  • × author_ss:"Endres-Niggemeyer, B."
  • × theme_ss:"Referieren"
  1. Endres-Niggemeyer, B.: Summarizing information (1998) 0.00
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    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
  2. Endres-Niggemeyer, B.: Content analysis : a special case of text compression (1989) 0.00
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    Source
    Information, knowledge, evolution. Proceedings of the 44th FID Congress, Helsinki, 28.8.-1.9.1988. Ed. by S. Koshiala and R. Launo
  3. Endres-Niggemeyer, B.: Summarising text for intelligent communication : results of the Dagstuhl seminar (1994) 0.00
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    Abstract
    As a result of the transition to full-text storage, multimedia and networking, information systems are becoming more efficient but at the same time more difficult to use, in particular because users are confronted with information volumes that increasingly exceed individual processing capacities. Consequently, there is an increase in the demand for user aids such as summarising techniques. Against this background, the interdisciplinary Dagstuhl Seminar 'Summarising Text for Intelligent Communication' (Dec. 1993) outlined the academic state of the art with regard to summarising (abstracting) and proposed future directions for research and system development. Research is currently shifting its attention from text summarising to summarising states of affairs. Recycling solutions are put forward in order to satisfy short-term needs for summarisation products. In the medium and long term, it is necessary to devise concepts and methods of intelligent summarising which have a better formal and empirical grounding and a more modular organisation
  4. Endres-Niggemeyer, B.; Maier, E.; Sigel, A.: How to implement a naturalistic model of abstracting : four core working steps of an expert abstractor (1995) 0.00
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    Source
    Information processing and management. 31(1995) no.5, S.631-674