Search (43 results, page 1 of 3)

  • × theme_ss:"Automatisches Abstracting"
  • × year_i:[2000 TO 2010}
  1. Vanderwende, L.; Suzuki, H.; Brockett, J.M.; Nenkova, A.: Beyond SumBasic : task-focused summarization with sentence simplification and lexical expansion (2007) 0.02 
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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.
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  2. Wu, Y.-f.B.; Li, Q.; Bot, R.S.; Chen, X.: Finding nuggets in documents : a machine learning approach (2006) 0.02 
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    Date
    22. 7.2006 17:25:48
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  3. Craven, T.C.: Presentation of repeated phrases in a computer-assisted abstracting tool kit (2001) 0.00 
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  4. Endres-Niggemeyer, B.: SimSum : an empirically founded simulation of summarizing (2000) 0.00 
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  5. Pinto, M.: Engineering the production of meta-information : the abstracting concern (2003) 0.00 
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  6. Mani, T.: Automatic summarization (2001) 0.00 
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  7. Moens, M.F.: Automatic indexing and abstracting of document texts (2000) 0.00 
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  8. Marcu, D.: Automatic abstracting and summarization (2009) 0.00 
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    Footnote
    Vgl.: http://www.tandfonline.com/doi/book/10.1081/E-ELIS3.
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  9. Over, P.; Dang, H.; Harman, D.: DUC in context (2007) 0.00 
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  10. Harabagiu, S.; Hickl, A.; Lacatusu, F.: Satisfying information needs with multi-document summaries (2007) 0.00 
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  11. Sjöbergh, J.: Older versions of the ROUGEeval summarization evaluation system were easier to fool (2007) 0.00 
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  12. Saggion, H.; Lapalme, G.: Selective analysis for the automatic generation of summaries (2000) 0.00 
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  13. Moens, M.F.; Dumortier, J.: Use of a text grammar for generating highlight abstracts of magazine articles (2000) 0.00 
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  14. Kuhlen, R.: In Richtung Summarizing für Diskurse in K3 (2006) 0.00 
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    Abstract
    Der Bedarf nach Summarizing-Leistungen, in Situationen der Fachinformation, aber auch in kommunikativen Umgebungen (Diskursen) wird aufgezeigt. Summarizing wird dazu in den Kontext des bisherigen (auch automatischen) Abstracting/Extracting gestellt. Der aktuelle Forschungsstand, vor allem mit Blick auf Multi-Document-Summarizing, wird dargestellt. Summarizing ist eine wichtige Funktion in komplex und umfänglich werdenden Diskussionen in elektronischen Foren. Dies wird am Beispiel des e-Learning-Systems K3 aufgezeigt. Rudimentäre Summarizing-Funktionen von K3 und des zugeordneten K3VIS-Systems werden dargestellt. Der Rahmen für ein elaborierteres, Template-orientiertes Summarizing unter Verwendung der vielfältigen Auszeichnungsfunktionen von K3 (Rollen, Diskurstypen, Inhaltstypen etc.) wird aufgespannt.
  15. Soricut, R.; Marcu, D.: Abstractive headline generation using WIDL-expressions (2007) 0.00 
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  16. Zajic, D.; Dorr, B.J.; Lin, J.; Schwartz, R.: Multi-candidate reduction : sentence compression as a tool for document summarization tasks (2007) 0.00 
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  17. Ercan, G.; Cicekli, I.: Using lexical chains for keyword extraction (2007) 0.00 
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  18. Moens, M.-F.: Summarizing court decisions (2007) 0.00 
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  19. Lee, J.-H.; Park, S.; Ahn, C.-M.; Kim, D.: Automatic generic document summarization based on non-negative matrix factorization (2009) 0.00 
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  20. Craven, T.C.: Abstracts produced using computer assistance (2000) 0.00 
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