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  • × theme_ss:"Automatisches Abstracting"
  1. Endres-Niggemeyer, B.: ¬An empirical process model of abstracting (1992) 0.03 
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    Source
    Mensch und Maschine: Informationelle Schnittstellen der Kommunikation. Proc. des 3. Int. Symposiums für Informationswissenschaft (ISI'92), 5.-7.11.1992 in Saarbrücken. Hrsg.: H.H. Zimmermann, H.-D. Luckhardt u. A. Schulz
  2. Haag, M.: Automatic text summarization (2002) 0.03 
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    Footnote
    Basiert auf einer Diplomabarbeit des Verfassers an der HBI Stuttgart, die im Shaker-Verlag erschienen ist
    Source
    Information - Wissenschaft und Praxis. 53(2002) H.4, 243-244
  3. Ruda, S.: Abstracting: eine Auswahlbibliographie (1992) 0.02 
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    Abstract
    Die vorliegende Auswahlbibliographie ist in 9 Themenbereiche unterteilt. Der erste Abschnitt enthält Literatur, in der auf Abstracts und Abstracting-Verfahren allgemein eingegangen und ein Überblick über den Stand der Forschung gegeben wird. Im nächsten Abschnitt werden solche Aufsätze referiert, die die historische Entwicklung des Abstracting beschreiben. Im dritten Teil sind Abstracting-Richtlinien verschiedener Institutionen aufgelistet. Lexikalische, syntaktische und semantische Textkondensierungsverfahren sind das Thema der in Abschnitt 4 präsentierten Arbeiten. Textstrukturen von Abstracts werden unter Punkt 5 betrachtet, und die Arbeiten des nächsten Themenbereiches befassen sich mit dem Problem des Schreibens von Abstracts. Der siebte Abschnitt listet sog. 'maschinelle' und maschinen-unterstützte Abstracting-Methoden auf. Anschließend werden 'maschinelle' und maschinenunterstützte Abstracting-Verfahren, Abstracts im Vergleich zu ihren Primärtexten sowie Abstracts im allgemeien bewertet. Den Abschluß bilden Bibliographien
    Source
    Nachrichten für Dokumentation. 43(1992) H.5, S.283-292
  4. Kuhlen, R.: In Richtung Summarizing für Diskurse in K3 (2006) 0.02 
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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.
    Source
    Information und Sprache: Beiträge zu Informationswissenschaft, Computerlinguistik, Bibliothekswesen und verwandten Fächern. Festschrift für Harald H. Zimmermann. Herausgegeben von Ilse Harms, Heinz-Dirk Luckhardt und Hans W. Giessen
  5. Ruda, S.: Maschinenunterstützte Kondensierung von Fachtexten mit CONNY : Abstracting am Beispiel eines 'Nachrichten für Dokumentation'-Textkorpus (1994) 0.02 
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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
    Source
    Nachrichten für Dokumentation. 45(1994) H.6, S.335-342
  6. 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.
  7. Deutsche Patentdatenbank mit maschinellen Abstract-Übersetzungen (2005) 0.02 
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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.
    Source
    Password. 2005, H.2, S.32
  8. Haag, M.: Automatic text summarization : Evaluation des Copernic Summarizer und mögliche Einsatzfelder in der Fachinformation der DaimlerCrysler AG (2002) 0.02 
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    Footnote
    Diplomarbeit an der HBI Stuttgart. - Vgl. auch: nfd 53(2002) H.4, S.243-244
  9. Oh, H.; Nam, S.; Zhu, Y.: Structured abstract summarization of scientific articles : summarization using full-text section information (2023) 0.02 
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    Date
    22. 1.2023 18:57:12
  10. Endres-Niggemeyer, B.; Jauris-Heipke, S.; Pinsky, S.M.; Ulbricht, U.: Wissen gewinnen durch Wissen : Ontologiebasierte Informationsextraktion (2006) 0.01 
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    Abstract
    Die ontologiebasierte Informationsextraktion, über die hier berichtet wird, ist Teil eines Systems zum automatischen Zusammenfassen, das sich am Vorgehen kompetenter Menschen orientiert. Dahinter steht die Annahme, dass Menschen die Ergebnisse eines Systems leichter übernehmen können, wenn sie mit Verfahren erarbeitet worden sind, die sie selbst auch benutzen. Das erste Anwendungsgebiet ist Knochenmarktransplantation (KMT). Im Kern des Systems Summit-BMT (Summarize It in Bone Marrow Transplantation) steht eine Ontologie des Fachgebietes. Sie ist als MySQL-Datenbank realisiert und versorgt menschliche Benutzer und Systemkomponenten mit Wissen. Summit-BMT unterstützt die Frageformulierung mit einem empirisch fundierten Szenario-Interface. Die Retrievalergebnisse werden durch ein Textpassagenretrieval vorselektiert und dann kognitiv fundierten Agenten unterbreitet, die unter Einsatz ihrer Wissensbasis / Ontologie genauer prüfen, ob die Propositionen aus der Benutzerfrage getroffen werden. Die relevanten Textclips aus dem Duelldokument werden in das Szenarioformular eingetragen und mit einem Link zu ihrem Vorkommen im Original präsentiert. In diesem Artikel stehen die Ontologie und ihr Gebrauch zur wissensbasierten Informationsextraktion im Mittelpunkt. Die Ontologiedatenbank hält unterschiedliche Wissenstypen so bereit, dass sie leicht kombiniert werden können: Konzepte, Propositionen und ihre syntaktisch-semantischen Schemata, Unifikatoren, Paraphrasen und Definitionen von Frage-Szenarios. Auf sie stützen sich die Systemagenten, welche von Menschen adaptierte Zusammenfassungsstrategien ausführen. Mängel in anderen Verarbeitungsschritten führen zu Verlusten, aber die eigentliche Qualität der Ergebnisse steht und fällt mit der Qualität der Ontologie. Erste Tests der Extraktionsleistung fallen verblüffend positiv aus.
    Source
    Information - Wissenschaft und Praxis. 57(2006) H.6/7, S.301-308
  11. Chen, H.-H.; Kuo, J.-J.; Huang, S.-J.; Lin, C.-J.; Wung, H.-C.: ¬A summarization system for Chinese news from multiple sources (2003) 0.01 
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  12. Su, H.: Automatic abstracting (1996) 0.01 
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  13. Advances in automatic text summarization (1999) 0.01 
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    Footnote
    Rez. in: Knowledge organization 27(2000) no.3, S.178-180 (H. Saggion)
  14. Over, P.; Dang, H.; Harman, D.: DUC in context (2007) 0.01 
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  15. Goh, A.; Hui, S.C.: TES: a text extraction system (1996) 0.01 
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    Date
    26. 2.1997 10:22:43
  16. Robin, J.; McKeown, K.: Empirically designing and evaluating a new revision-based model for summary generation (1996) 0.01 
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    Date
    6. 3.1997 16:22:15
  17. Jones, P.A.; Bradbeer, P.V.G.: Discovery of optimal weights in a concept selection system (1996) 0.01 
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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
  18. Yeh, J.-Y.; Ke, H.-R.; Yang, W.-P.; Meng, I.-H.: Text summarization using a trainable summarizer and latent semantic analysis (2005) 0.01 
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  19. Hahn, U.: ¬Die Verdichtung textuellen Wissens zu Information : vom Wandel methodischer Paradigmen beim automatischen Abstracting (2004) 0.01 
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    Source
    Wissen in Aktion: Der Primat der Pragmatik als Motto der Konstanzer Informationswissenschaft. Festschrift für Rainer Kuhlen. Hrsg. R. Hammwöhner, u.a
  20. Saggion, H.; Lapalme, G.: Selective analysis for the automatic generation of summaries (2000) 0.01 
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