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  1. Witschel, H.F.: Terminologie-Extraktion : Möglichkeiten der Kombination statistischer uns musterbasierter Verfahren (2004) 0.04 
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    Abstract
    Die Suche nach Informationen in unstrukturierten natürlichsprachlichen Daten ist Gegenstand des sogenannten Text Mining. In dieser Arbeit wird ein Teilgebiet des Text Mining beleuchtet, nämlich die Extraktion domänenspezifischer Fachbegriffe aus Fachtexten der jeweiligen Domäne. Wofür überhaupt Terminologie-Extraktion? Die Antwort darauf ist einfach: der Schlüssel zum Verständnis vieler Fachgebiete liegt in der Kenntnis der zugehörigen Terminologie. Natürlich genügt es nicht, nur eine Liste der Fachtermini einer Domäne zu kennen, um diese zu durchdringen. Eine solche Liste ist aber eine wichtige Voraussetzung für die Erstellung von Fachwörterbüchern (man denke z.B. an Nachschlagewerke wie das klinische Wörterbuch "Pschyrembel"): zunächst muß geklärt werden, welche Begriffe in das Wörterbuch aufgenommen werden sollen, bevor man sich Gedanken um die genaue Definition der einzelnen Termini machen kann. Ein Fachwörterbuch sollte genau diejenigen Begriffe einer Domäne beinhalten, welche Gegenstand der Forschung in diesem Gebiet sind oder waren. Was liegt also näher, als entsprechende Fachliteratur zu betrachten und das darin enthaltene Wissen in Form von Fachtermini zu extrahieren? Darüberhinaus sind weitere Anwendungen der Terminologie-Extraktion denkbar, wie z.B. die automatische Beschlagwortung von Texten oder die Erstellung sogenannter Topic Maps, welche wichtige Begriffe zu einem Thema darstellt und in Beziehung setzt. Es muß also zunächst die Frage geklärt werden, was Terminologie eigentlich ist, vor allem aber werden verschiedene Methoden entwickelt, welche die Eigenschaften von Fachtermini ausnutzen, um diese aufzufinden. Die Verfahren werden aus den linguistischen und 'statistischen' Charakteristika von Fachbegriffen hergeleitet und auf geeignete Weise kombiniert.
    RSWK
    Sachtext / Text Mining
    Subject
    Sachtext / Text Mining
  2. Heyer, G.; Läuter, M.; Quasthoff, U.; Wolff, C.: Texttechnologische Anwendungen am Beispiel Text Mining (2000) 0.04 
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    Theme
    Data Mining
  3. Witschel, H.F.: Text, Wörter, Morpheme : Möglichkeiten einer automatischen Terminologie-Extraktion (2004) 0.03 
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    Abstract
    Die vorliegende Arbeit beschäftigt sich mit einem Teilgebiet des TextMining, versucht also Information (in diesem Fall Fachterminologie) aus natürlichsprachlichem Text zu extrahieren. Die der Arbeit zugrundeliegende These besagt, daß in vielen Gebieten des Text Mining die Kombination verschiedener Methoden sinnvoll sein kann, um dem Facettenreichtum natürlicher Sprache gerecht zu werden. Die bei der Terminologie-Extraktion angewandten Methoden sind statistischer und linguistischer (bzw. musterbasierter) Natur. Um sie herzuleiten, wurden einige Eigenschaften von Fachtermini herausgearbeitet, die für deren Extraktion relevant sind. So läßt sich z.B. die Tatsache, daß viele Fachbegriffe Nominalphrasen einer bestimmten Form sind, direkt für eine Suche nach gewissen POS-Mustern ausnützen, die Verteilung von Termen in Fachtexten führte zu einem statistischen Ansatz - der Differenzanalyse. Zusammen mit einigen weiteren wurden diese Ansätze in ein Verfahren integriert, welches in der Lage ist, aus dem Feedback eines Anwenders zu lernen und in mehreren Schritten die Suche nach Terminologie zu verfeinern. Dabei wurden mehrere Parameter des Verfahrens veränderlich belassen, d.h. der Anwender kann sie beliebig anpassen. Bei der Untersuchung der Ergebnisse anhand von zwei Fachtexten aus unterschiedlichen Domänen wurde deutlich, daß sich zwar die verschiedenen Verfahren gut ergänzen, daß aber die optimalen Werte der veränderbaren Parameter, ja selbst die Auswahl der angewendeten Verfahren text- und domänenabhängig sind.
    Theme
    Data Mining
  4. ¬Der Student aus dem Computer (2023) 0.02 
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    Date
    27. 1.2023 16:22:55
  5. 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
  6. 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
  7. 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
  8. Ruge, G.: Sprache und Computer : Wortbedeutung und Termassoziation. Methoden zur automatischen semantischen Klassifikation (1995) 0.01 
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    Footnote
    Rez. in: Knowledge organization 22(1995) no.3/4, S.182-184 (M.T. Rolland)
  9. Lezius, W.: Morphy - Morphologie und Tagging für das Deutsche (2013) 0.01 
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    Date
    22. 3.2015 9:30:24
  10. Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 0.01 
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    Date
    29.12.2022 18:22:55
  11. Rieger, F.: Lügende Computer (2023) 0.01 
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    Date
    16. 3.2023 19:22:55
  12. Schneider, R.: Web 3.0 ante portas? : Integration von Social Web und Semantic Web (2008) 0.01 
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    Date
    22. 1.2011 10:38:28
  13. Lorenz, S.: Konzeption und prototypische Realisierung einer begriffsbasierten Texterschließung (2006) 0.01 
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    22. 3.2015 9:17:30
  14. Sienel, J.; Weiss, M.; Laube, M.: Sprachtechnologien für die Informationsgesellschaft des 21. Jahrhunderts (2000) 0.01 
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    Date
    26.12.2000 13:22:17
  15. Pinker, S.: Wörter und Regeln : Die Natur der Sprache (2000) 0.01 
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    Date
    19. 7.2002 14:22:31
  16. Semantik, Lexikographie und Computeranwendungen : Workshop ... (Bonn) : 1995.01.27-28 (1996) 0.01 
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    Date
    14. 4.2007 10:04:22
  17. Rötzer, F.: KI-Programm besser als Menschen im Verständnis natürlicher Sprache (2018) 0.01 
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    Date
    22. 1.2018 11:32:44
  18. Schürmann, H.: Software scannt Radio- und Fernsehsendungen : Recherche in Nachrichtenarchiven erleichtert (2001) 0.01 
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    Source
    Handelsblatt. Nr.79 vom 24.4.2001, S.22
  19. Melzer, C.: ¬Der Maschine anpassen : PC-Spracherkennung - Programme sind mittlerweile alltagsreif (2005) 0.01 
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    Date
    3. 5.1997 8:44:22

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