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  • × theme_ss:"Computerlinguistik"
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  1. Ruge, G.: Sprache und Computer : Wortbedeutung und Termassoziation. Methoden zur automatischen semantischen Klassifikation (1995) 0.05 
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    Footnote
    Rez. in: Knowledge organization 22(1995) no.3/4, S.182-184 (M.T. Rolland)
  2. Schwarz, C.: Probleme der syntaktischen Indexierung (1986) 0.03 
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    Source
    Informationslinguistische Texterschließung. Hrsg.: C. Schwarz u. G. Thurmair
  3. Heaven, D.; Hinton, G.: "Erschreckend, wenn man das sieht" : KI-Pionier Geoffrey Hinton über KI-Modelle (2023) 0.03 
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    Biographed
    Hinton, G.
  4. Rahmstorf, G.: Semantisches Information Retrieval (1994) 0.02 
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  5. Lustig, G.: ¬Das Projekt WAI : Wörterbuchentwicklung für automatisches Indexing (1982) 0.02 
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  6. ¬Der Student aus dem Computer (2023) 0.02 
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    Date
    27. 1.2023 16:22:55
  7. Ohly, H.P.; Binder, G.: Semantisches Retrieval mit sozialwissenschaftlichen Dokumenten : erste Erfahrungen mit RELATIO/IR (1994) 0.02 
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  8. Sonnenberger, G.: Automatische Wissensakquisition aus Texten : Textparsing (1990) 0.02 
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  9. Schwarz, C.; Thurmair, G.: REALIST: eine Retrievalhilfe mit informationslinguistischen Komponenten (1986) 0.02 
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  10. Rapke, K.: Automatische Indexierung von Volltexten für die Gruner+Jahr Pressedatenbank (2001) 0.02 
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    Abstract
    Retrieval Tests sind die anerkannteste Methode, um neue Verfahren der Inhaltserschließung gegenüber traditionellen Verfahren zu rechtfertigen. Im Rahmen einer Diplomarbeit wurden zwei grundsätzlich unterschiedliche Systeme der automatischen inhaltlichen Erschließung anhand der Pressedatenbank des Verlagshauses Gruner + Jahr (G+J) getestet und evaluiert. Untersucht wurde dabei natürlichsprachliches Retrieval im Vergleich zu Booleschem Retrieval. Bei den beiden Systemen handelt es sich zum einen um Autonomy von Autonomy Inc. und DocCat, das von IBM an die Datenbankstruktur der G+J Pressedatenbank angepasst wurde. Ersteres ist ein auf natürlichsprachlichem Retrieval basierendes, probabilistisches System. DocCat demgegenüber basiert auf Booleschem Retrieval und ist ein lernendes System, das auf Grund einer intellektuell erstellten Trainingsvorlage indexiert. Methodisch geht die Evaluation vom realen Anwendungskontext der Textdokumentation von G+J aus. Die Tests werden sowohl unter statistischen wie auch qualitativen Gesichtspunkten bewertet. Ein Ergebnis der Tests ist, dass DocCat einige Mängel gegenüber der intellektuellen Inhaltserschließung aufweist, die noch behoben werden müssen, während das natürlichsprachliche Retrieval von Autonomy in diesem Rahmen und für die speziellen Anforderungen der G+J Textdokumentation so nicht einsetzbar ist
  11. Monnerjahn, P.: Vorsprung ohne Technik : Übersetzen: Computer und Qualität (2000) 0.02 
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    Source
    c't. 2000, H.22, S.230-231
  12. Linguistik und neue Medien (1998) 0.02 
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    Editor
    Heyer, G. u. C. Wolff
  13. Rapke, K.: Automatische Indexierung von Volltexten für die Gruner+Jahr Pressedatenbank (2001) 0.02 
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    Abstract
    Retrievaltests sind die anerkannteste Methode, um neue Verfahren der Inhaltserschließung gegenüber traditionellen Verfahren zu rechtfertigen. Im Rahmen einer Diplomarbeit wurden zwei grundsätzlich unterschiedliche Systeme der automatischen inhaltlichen Erschließung anhand der Pressedatenbank des Verlagshauses Gruner + Jahr (G+J) getestet und evaluiert. Untersucht wurde dabei natürlichsprachliches Retrieval im Vergleich zu Booleschem Retrieval. Bei den beiden Systemen handelt es sich zum einen um Autonomy von Autonomy Inc. und DocCat, das von IBM an die Datenbankstruktur der G+J Pressedatenbank angepasst wurde. Ersteres ist ein auf natürlichsprachlichem Retrieval basierendes, probabilistisches System. DocCat demgegenüber basiert auf Booleschem Retrieval und ist ein lernendes System, das aufgrund einer intellektuell erstellten Trainingsvorlage indexiert. Methodisch geht die Evaluation vom realen Anwendungskontext der Textdokumentation von G+J aus. Die Tests werden sowohl unter statistischen wie auch qualitativen Gesichtspunkten bewertet. Ein Ergebnis der Tests ist, dass DocCat einige Mängel gegenüber der intellektuellen Inhaltserschließung aufweist, die noch behoben werden müssen, während das natürlichsprachliche Retrieval von Autonomy in diesem Rahmen und für die speziellen Anforderungen der G+J Textdokumentation so nicht einsetzbar ist
  14. Scobel, G.: GPT: Eine Software, die die Welt verändert (2023) 0.02 
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  15. Rahmstorf, G.: Wortmodell und Begriffssprache als Basis des semantischen Retrievals (2000) 0.02 
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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
  16. Kuhlmann, U.; Monnerjahn, P.: Sprache auf Knopfdruck : Sieben automatische Übersetzungsprogramme im Test (2000) 0.02 
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    Source
    c't. 2000, H.22, S.220-229
  17. Lezius, W.; Rapp, R.; Wettler, M.: ¬A morphology-system and part-of-speech tagger for German (1996) 0.02 
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    Date
    22. 3.2015 9:37:18
  18. Rahmstorf, G.: Rückkehr von Ordnung in die Informationstechnik? (2000) 0.02 
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    Information und Öffentlichkeit: 1. Gemeinsamer Kongress der Bundesvereinigung Deutscher Bibliotheksverbände e.V. (BDB) und der Deutschen Gesellschaft für Informationswissenschaft und Informationspraxis e.V. (DGI), Leipzig, 20.-23.3.2000. Zugleich 90. Deutscher Bibliothekartag, 52. Jahrestagung der Deutschen Gesellschaft für Informationswissenschaft und Informationspraxis e.V. (DGI). Hrsg.: G. Ruppelt u. H. Neißer
  19. Ruge, G.; Schwarz, C.: ¬Die Leistungsfähigkeit von linguistischen Verfahren in der Massentextverarbeitung (1989) 0.01 
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  20. Budin, G.: Zum Entwicklungsstand der Terminologiewissenschaft (2019) 0.01 
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