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  • × theme_ss:"Automatisches Indexieren"
  1. Kiros, R.; Salakhutdinov, R.; Zemel, R.S.: Unifying visual-semantic embeddings with multimodal neural language models (2014) 0.01
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  2. Lustig, G.: Automatische Indexierung : Erfahrungen und Perspektiven (1989) 0.01
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    Source
    Klassifikation und Ordnung. Tagungsband 12. Jahrestagung der Gesellschaft für Klassifikation, Darmstadt 17.-19.3.1988. Hrsg.: R. Wille
  3. Harman, D.: Automatic indexing (1994) 0.01
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    Source
    Challenges in indexing electronic text and images. Ed.: R. Fidel et al
  4. Zukunft der Sacherschließung im OPAC : Vorträge des 2. Düsseldorfer OPAC-Kolloquiums am 21. Juni 1995 (1996) 0.01
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    Content
    Enthält die Beiträge: LEPSKY, K.: Automatische Indexierung und bibliothekarische Inhaltserschließung: Ergebnisse des DFG-Projekts MILOS I; ZIMMERMANN, H.H.: Automatische Indexierung und elektronische Thesauri; WEIDEMÜLLER, H.U.: Sinn und Unsinn von Ketten im OPAC; GÖDERT, W.: Vom Zettelkatalog zum HyperOPAC; KOOPMANN, R.: Ein OPAC mit Gewichtungsalgorithmen: Der PICA Micro OPC
  5. Prasad, A.R.D.: PROMETHEUS: an automatic indexing system (1996) 0.01
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    Source
    Knowledge organization and change: Proceedings of the Fourth International ISKO Conference, 15-18 July 1996, Library of Congress, Washington, DC. Ed.: R. Green
  6. Hlava, M.M.K.; Hainebach, R.: Machine aided indexing : European Parliament study and results (1996) 0.01
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  7. Fox, C.: Lexical analysis and stoplists (1992) 0.01
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    Source
    Information retrieval: data structures and algorithms. Ed.: W.B. Frakes u. R. Baeza-Yates
  8. Siegmüller, R.: Verfahren der automatischen Indexierung in bibliotheksbezogenen Anwendungen : Funktion und Qualität (2007) 0.01
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  9. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.01
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    Date
    20.10.2000 12:22:23
  10. Hlava, M.M.K.: Automatic indexing : comparing rule-based and statistics-based indexing systems (2005) 0.01
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    Source
    Information outlook. 9(2005) no.8, S.22-23
  11. Grün, S.: Mehrwortbegriffe und Latent Semantic Analysis : Bewertung automatisch extrahierter Mehrwortgruppen mit LSA (2017) 0.01
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    Abstract
    Die vorliegende Studie untersucht das Potenzial von Mehrwortbegriffen für das Information Retrieval. Zielsetzung der Arbeit ist es, intellektuell positiv bewertete Kandidaten mithilfe des Latent Semantic Analysis (LSA) Verfahren höher zu gewichten, als negativ bewertete Kandidaten. Die positiven Kandidaten sollen demnach bei einem Ranking im Information Retrieval bevorzugt werden. Als Kollektion wurde eine Version der sozialwissenschaftlichen GIRT-Datenbank (German Indexing and Retrieval Testdatabase) eingesetzt. Um Kandidaten für Mehrwortbegriffe zu identifizieren wurde die automatische Indexierung Lingo verwendet. Die notwendigen Kernfunktionalitäten waren Lemmatisierung, Identifizierung von Komposita, algorithmische Mehrworterkennung sowie Gewichtung von Indextermen durch das LSA-Modell. Die durch Lingo erkannten und LSAgewichteten Mehrwortkandidaten wurden evaluiert. Zuerst wurde dazu eine intellektuelle Auswahl von positiven und negativen Mehrwortkandidaten vorgenommen. Im zweiten Schritt der Evaluierung erfolgte die Berechnung der Ausbeute, um den Anteil der positiven Mehrwortkandidaten zu erhalten. Im letzten Schritt der Evaluierung wurde auf der Basis der R-Precision berechnet, wie viele positiv bewerteten Mehrwortkandidaten es an der Stelle k des Rankings geschafft haben. Die Ausbeute der positiven Mehrwortkandidaten lag bei durchschnittlich ca. 39%, während die R-Precision einen Durchschnittswert von 54% erzielte. Das LSA-Modell erzielt ein ambivalentes Ergebnis mit positiver Tendenz.
  12. Clavel, G.; Walther, F.; Walther, J.: Indexation automatique de fonds bibliotheconomiques (1993) 0.01
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    Source
    ARBIDO-R. 8(1993) no.1, S.13-19
  13. Micco, M.; Popp, R.: Improving library subject access (ILSA) : a theory of clustering based in classification (1994) 0.01
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  14. Sachse, E.; Liebig, M.; Gödert, W.: Automatische Indexierung unter Einbeziehung semantischer Relationen : Ergebnisse des Retrievaltests zum MILOS II-Projekt (1998) 0.01
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    Type
    r
  15. Kuhlen, R.: Experimentelle Morphologie in der Informationswissenschaft (1977) 0.01
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  16. Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.01
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    Date
    14. 6.2015 22:12:44
  17. Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986) 0.01
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    Date
    14. 6.2015 22:12:56
  18. Hauer, M.: Tiefenindexierung im Bibliothekskatalog : 17 Jahre intelligentCAPTURE (2019) 0.01
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    Source
    B.I.T.online. 22(2019) H.2, S.163-166
  19. Goller, C.; Löning, J.; Will, T.; Wolff, W.: Automatic document classification : a thourough evaluation of various methods (2000) 0.01
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    Source
    Informationskompetenz - Basiskompetenz in der Informationsgesellschaft: Proceedings des 7. Internationalen Symposiums für Informationswissenschaft (ISI 2000), Hrsg.: G. Knorz u. R. Kuhlen
  20. Beckmann, R.; Hinrichs, I.; Janßen, M.; Milmeister, G.; Schäuble, P.: ¬Der Digitale Assistent DA-3 : Eine Plattform für die Inhaltserschließung (2019) 0.01
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