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  • × theme_ss:"Automatisches Abstracting"
  1. Endres-Niggemeyer, B.: Summarizing information (1998) 0.01 
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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
    Pages
    VII, 375 S. + 1 CD-ROM
    RSWK
    Zusammenfassung / Referieren <Dokumentation> / Indexierung <Inhaltserschliessung> / Computersimulation / CD-ROM (23145) (32145) (41235)
    Subject
    Zusammenfassung / Referieren <Dokumentation> / Indexierung <Inhaltserschliessung> / Computersimulation / CD-ROM (23145) (32145) (41235)
  2. Dammeyer, A.; Jürgensen, W.; Krüwel, C.; Poliak, E.; Ruttkowski, S.; Schäfer, Th.; Sirava, M.; Hermes, T.: Videoanalyse mit DiVA (1998) 0.00 
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    Date
    29.12.2001 19:28:48
  3. Mani, T.: Automatic summarization (2001) 0.00 
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  4. Wang, S.; Koopman, R.: Embed first, then predict (2019) 0.00 
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    Date
    29. 9.2019 12:18:42
    Footnote
    Beitrag eines Special Issue: Research Information Systems and Science Classifications; including papers from "Trajectories for Research: Fathoming the Promise of the NARCIS Classification," 27-28 September 2018, The Hague, The Netherlands.
  5. Kim, H.H.; Kim, Y.H.: Generic speech summarization of transcribed lecture videos : using tags and their semantic relations (2016) 0.00 
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    Date
    22. 1.2016 12:29:41
  6. Pinto, M.: Engineering the production of meta-information : the abstracting concern (2003) 0.00 
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    Date
    27.11.2005 18:29:55
    Source
    Journal of information science. 29(2003) no.5, S.405-418
  7. Gomez, J.; Allen, K.; Matney, M.; Awopetu, T.; Shafer, S.: Experimenting with a machine generated annotations pipeline (2020) 0.00 
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  8. Ye, S.; Chua, T.-S.; Kan, M.-Y.; Qiu, L.: Document concept lattice for text understanding and summarization (2007) 0.00 
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  9. Hirao, T.; Okumura, M.; Yasuda, N.; Isozaki, H.: Supervised automatic evaluation for summarization with voted regression model (2007) 0.00 
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  10. Nomoto, T.: Discriminative sentence compression with conditional random fields (2007) 0.00 
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  11. Dorr, B.J.; Gaasterland, T.: Exploiting aspectual features and connecting words for summarization-inspired temporal-relation extraction (2007) 0.00 
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  12. Moens, M.F.: Automatic indexing and abstracting of document texts (2000) 0.00 
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    Date
    6.12.2001 19:28:09
  13. 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
  14. Johnson, F.: Automatic abstracting research (1995) 0.00 
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    Source
    Library review. 44(1995) no.8, S.28-36
  15. 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
  16. Goh, A.; Hui, S.C.: TES: a text extraction system (1996) 0.00 
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    Date
    26. 2.1997 10:22:43
  17. 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
  18. Jones, P.A.; Bradbeer, P.V.G.: Discovery of optimal weights in a concept selection system (1996) 0.00 
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    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
  19. 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
  20. Shen, D.; Yang, Q.; Chen, Z.: Noise reduction through summarization for Web-page classification (2007) 0.00 
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    Date
    26.12.2007 16:28:55

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