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  • × theme_ss:"Automatisches Abstracting"
  1. Kuhlen, R.: Abstracts, abstracting : intellektuelle und maschinelle Verfahren (1997) 0.00
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    Source
    Grundlagen der praktischen Information und Dokumentation: ein Handbuch zur Einführung in die fachliche Informationsarbeit. 4. Aufl. Hrsg.: M. Buder u.a
  2. Endres-Niggemeyer, B.: Referierregeln und Referate : Abstracting als regelgesteuerter Textverarbeitungsprozeß (1985) 0.00
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    Abstract
    Referierregeln steuern Referierprozesse. Inhaltsbezogene Vorschriften aus drei Referierregeln wurden mit zugehö-rigen Abstracts verglichen. Das Ergebnis war unbefriedi-gend: Referierregeln sind teilweise inkonsistent, ihre Angaben sind nicht immer sachgerecht und oft als Hand-lungsanleitung nicht geeignet. Referieren erscheint als unterbestimmter Denk- und Textverarbeitungsvorgang mit beachtlichem Klärungs- und Gestaltungsbedarf. Die Regeln enthalten zuwenig Wissen über die von ihnen geregelten Sachverhalte. Sie geben oft zu einfache und sachferne Inhaltsstrukturen vor. Ideen für differenziertere Referatstrukturen werden entwickelt. Sie berücksichtigen die Abhängigkeit der Referatstruktur von der Textstruktur des Originaldokuments stärker. Die Klärung des Referier-vorganges bis zu einer gemeinsamen Zieldefinition ist für die weitere Entwicklung des intellektuellen wie des automatischen Referierens wichtig.
  3. Yusuff, A.: Automatisches Indexing and Abstracting : Grundlagen und Beispiele (2002) 0.00
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  4. Deutsche Patentdatenbank mit maschinellen Abstract-Übersetzungen (2005) 0.00
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    Abstract
    Dialog hat sein Angebot um eine deutsche Patentdatenbank des niederländischen Patentinformationsanbieters mit 3,1 Millionen Volltexten in deutscher Sprache ab 1967 ausgeweitet. Die Dokumente ab 1980 enthalten maschinell übersetzte Abstracts in englischer Sprache, die dem Deutschunkundigen einen ersten Überblick über die gefundenen Dokumente ermöglichen. Die Dokumente sind vier bis fünf Tage nach der Veröffentlichung durch das Deutsche Patentamt recherchierbar. Univentio bietet über Dialog auch WIPO/PCT im Volltext an.
  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. Ruda, S.: Maschinenunterstützte Kondensierung von Fachtexten mit CONNY : Abstracting am Beispiel eines 'Nachrichten für Dokumentation'-Textkorpus (1994) 0.00
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    Abstract
    Als Textkorpus sind von 50 verschiedenen Autoren verfaßte Dokumente der Zeitschrift 'Nachrichten für Dokumentation' aus einem Zwanzigjahreszeitraum (1969-1989) herangezogen worden. Die Untersuchung der Abstracts hat ergeben, daß lediglich 15 von 50 Abstracts aus ausschließlich 'normgerechten' Abstractsätzen bestehen und kein Abstract allen Anforderungen der Richtlinien genügt. Insofern signalisieren sie die Abstracting-Richtlinien als 'Wunschdenken', was die Idee des maschinenunterstützten Abstracting nach linguistischen Merkmalen bekräftigt. CONNY ist ein interaktives linhuistisches Abstracting-Modell für Fachtexte, das dem Abstractor auf der Oberflächenstruktur operierende allgemeine Abstracting-Richtlinien anbietet. Es kondendiert die als abstractrelevant bewertenden Primärtextteile auf Primärtext-, Satz- und Abstractebene hinsichtlich Lexik, Syntax und Semantik
  7. Endres-Niggemeyer, B.: Kognitive Modellierung des Abstracting (1991) 0.00
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    Series
    DGD-Schrift (DOK-3); 1/91
    Source
    Deutscher Dokumentartag 1990. 1. Deutsch-deutscher Dokumentartag, 25.-27.9.90, Fulda. Proceedings. Hrsg. W. Neubauer u. U. Schneider-Briehn
  8. 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
  9. 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
  10. Edmundson, H.P.; Wyllis, R.E.: Problems in automatic abstracting (1964) 0.00
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    Source
    Communications of the Association for Computing Machinery. 7(1964) no.1, S.259-263
  11. Mani, T.: Automatic summarization (2001) 0.00
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    Isbn
    1-58811-060-5
  12. 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.
  13. Johnson, F.C.: ¬A critical view of system-centered to user-centered evaluation of automatic abstracting research (1999) 0.00
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    Date
    1. 4.2002 13:48:19
  14. 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
  15. Wang, S.; Koopman, R.: Embed first, then predict (2019) 0.00
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    Date
    29. 9.2019 12:18:42
  16. 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
  17. 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
  18. 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
  19. Johnson, F.C.; Paice, C.D.; Black, W.J.; Neal, A.P.: ¬The application of linguistic processing to automatic abstract generation (1993) 0.00
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    Source
    Journal of document and text management. 1(1993), S.215-241
  20. Advances in automatic text summarization (1999) 0.00
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    Date
    1. 2.1997 9:16:32

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