Search (21 results, page 1 of 2)

  • × theme_ss:"Automatisches Abstracting"
  1. Wang, S.; Koopman, R.: Embed first, then predict (2019) 0.01 
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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.
  2. Kim, H.H.; Kim, Y.H.: Generic speech summarization of transcribed lecture videos : using tags and their semantic relations (2016) 0.01 
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    Date
    22. 1.2016 12:29:41
  3. Pinto, M.: Engineering the production of meta-information : the abstracting concern (2003) 0.01 
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    Date
    27.11.2005 18:29:55
    Source
    Journal of information science. 29(2003) no.5, S.405-418
  4. Moens, M.F.: Automatic indexing and abstracting of document texts (2000) 0.00 
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    Date
    6.12.2001 19:28:09
  5. 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
  6. Johnson, F.: Automatic abstracting research (1995) 0.00 
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    Source
    Library review. 44(1995) no.8, S.28-36
  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. 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
  11. 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
  12. 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
  13. 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
  14. Wang, W.; Hwang, D.: Abstraction Assistant : an automatic text abstraction system (2010) 0.00 
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    Date
    28. 9.2010 11:24:15
  15. Vanderwende, L.; Suzuki, H.; Brockett, J.M.; Nenkova, A.: Beyond SumBasic : task-focused summarization with sentence simplification and lexical expansion (2007) 0.00 
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    Abstract
    In recent years, there has been increased interest in topic-focused multi-document summarization. In this task, automatic summaries are produced in response to a specific information request, or topic, stated by the user. The system we have designed to accomplish this task comprises four main components: a generic extractive summarization system, a topic-focusing component, sentence simplification, and lexical expansion of topic words. This paper details each of these components, together with experiments designed to quantify their individual contributions. We include an analysis of our results on two large datasets commonly used to evaluate task-focused summarization, the DUC2005 and DUC2006 datasets, using automatic metrics. Additionally, we include an analysis of our results on the DUC2006 task according to human evaluation metrics. In the human evaluation of system summaries compared to human summaries, i.e., the Pyramid method, our system ranked first out of 22 systems in terms of overall mean Pyramid score; and in the human evaluation of summary responsiveness to the topic, our system ranked third out of 35 systems.
  16. Yeh, J.-Y.; Ke, H.-R.; Yang, W.-P.; Meng, I.-H.: Text summarization using a trainable summarizer and latent semantic analysis (2005) 0.00 
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    Date
    26.12.2007 19:35:28
  17. Sweeney, S.; Crestani, F.; Losada, D.E.: 'Show me more' : incremental length summarisation using novelty detection (2008) 0.00 
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    Date
    29. 7.2008 19:35:12
  18. Wu, Y.-f.B.; Li, Q.; Bot, R.S.; Chen, X.: Finding nuggets in documents : a machine learning approach (2006) 0.00 
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    Date
    22. 7.2006 17:25:48
  19. Oh, H.; Nam, S.; Zhu, Y.: Structured abstract summarization of scientific articles : summarization using full-text section information (2023) 0.00 
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    Date
    22. 1.2023 18:57:12
  20. Jiang, Y.; Meng, R.; Huang, Y.; Lu, W.; Liu, J.: Generating keyphrases for readers : a controllable keyphrase generation framework (2023) 0.00 
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    Date
    22. 6.2023 14:55:20

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