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  • × theme_ss:"Computerlinguistik"
  1. Krause, J.: Was leisten informationslinguistische Komponenten von Referenz-Retrievalsystemen für Massendaten? : Von der 'Pragmatik im Computer' zur Pragmatikanalyse als Designgrundlage (1986) 0.02 
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  2. Sonnenberger, G.: Automatische Wissensakquisition aus Texten : Textparsing (1990) 0.02 
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    Source
    Pragmatische Aspekte beim Entwurf und Betrieb von Informationssystemen: Proc. 1. Int. Symposiums für Informationswissenschaft, Universität Konstanz, 17.-19.10.1990. Hrsg.: J. Herget u. R. Kuhlen
  3. Campe, P.: Case, semantic roles, and grammatical relations : a comprehensive bibliography (1994) 0.02 
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    Imprint
    Amsterdam : J. Benjamins
  4. Rolland, M.T.: Sprachverarbeitung durch Logotechnik : Sprachtheorie, Methodik, Anwendungen (1994) 0.02 
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    Footnote
    Rez. in: Nachrichten für Dokumentation 46(1995) H.2, S.130-132 (E. Lutterbeck); Knowledge organization 23(1996) no.3, S.147-156 (Ausführliche Rezension als eigener Beitrag von J. Heinrichs)
  5. Vichot, F.; Wolinksi, F.; Tomeh, J.; Guennou, S.; Dillet, B.; Aydjian, S.: High precision hypertext navigation based on NLP automation extractions (1997) 0.02 
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  6. Flanders, J.; Bauman, S.; Caton, P.; Courname, M.: Names proper and improper : applying the TEI to the classification of proper nouns (1998) 0.02 
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  7. Savoy, J.: ¬A stemming procedure and stopword list for general French Corpora (1999) 0.02 
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  8. Gachot, D.A.; Lange, E.; Yang, J.: ¬The SYSTRAN NLP browser : an application of machine translation technology in cross-language information retrieval (1998) 0.02 
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  9. Vilar, P.; Dimec, J.: Krnjenje kot osnova nekaterih nekonvencionalnih metod poizvedovanja (2000) 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. Diaz, I.; Morato, J.; Lioréns, J.: ¬An algorithm for term conflation based on tree structures (2002) 0.01 
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  12. Ludwig, B.; Reischer, J.: Informationslinguistik in Regensburg (2012) 0.01 
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    Content
    Vgl.: http://www.degruyter.com/view/j/iwp.2012.63.issue-5/iwp-2012-0065/iwp-2012-0065.xml?format=INT.
  13. Computational linguistics and formal semantics (1992) 0.01 
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    Footnote
    Rez. in: Computational linguistics 20(1994) no.1, S.131-136 (J. Nerbonne)
  14. Rapke, K.: Automatische Indexierung von Volltexten für die Gruner+Jahr Pressedatenbank (2001) 0.01 
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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
  15. Chibout, K.; Vilnat, A.: Primitive sémantiques, classification des verbes et polysémie (1999) 0.01 
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    Source
    Organisation des connaissances en vue de leur intégration dans les systèmes de représentation et de recherche d'information. Ed.: J. Maniez, et al
  16. Melby, A.K.; Warner, C.T.: ¬The possibilities of language : a discussion of the nature of language, with implications for human and machine translation (1995) 0.01 
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    Imprint
    Amsterdam : J. Benjamins
  17. Xu, J.; Weischedel, R.; Licuanan, A.: Evaluation of an extraction-based approach to answering definitional questions (2004) 0.01 
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  18. Andrushchenko, M.; Sandberg, K.; Turunen, R.; Marjanen, J.; Hatavara, M.; Kurunmäki, J.; Nummenmaa, T.; Hyvärinen, M.; Teräs, K.; Peltonen, J.; Nummenmaa, J.: Using parsed and annotated corpora to analyze parliamentarians' talk in Finland (2022) 0.01 
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  19. Barthel, J.; Ciesielski, R.: Regeln zu ChatGPT an Unis oft unklar : KI in der Bildung (2023) 0.01 
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  20. Janssen, J.-K.: ChatGPT-Klon läuft lokal auf jedem Rechner : Alpaca/LLaMA ausprobiert (2023) 0.01 
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Authors

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