Search (165 results, page 2 of 9)

  • × theme_ss:"Computerlinguistik"
  1. Perez-Carballo, J.; Strzalkowski, T.: Natural language information retrieval : progress report (2000) 0.02 
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  2. Gonzalo, J.; Verdejo, F.; Peters, C.; Calzolari, N.: Applying EuroWordNet to cross-language text retrieval (1998) 0.02 
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  3. Lawrie, D.; Mayfield, J.; McNamee, P.; Oard, P.W.: Cross-language person-entity linking from 20 languages (2015) 0.02 
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    Abstract
    The goal of entity linking is to associate references to an entity that is found in unstructured natural language content to an authoritative inventory of known entities. This article describes the construction of 6 test collections for cross-language person-entity linking that together span 22 languages. Fully automated components were used together with 2 crowdsourced validation stages to affordably generate ground-truth annotations with an accuracy comparable to that of a completely manual process. The resulting test collections each contain between 642 (Arabic) and 2,361 (Romanian) person references in non-English texts for which the correct resolution in English Wikipedia is known, plus a similar number of references for which no correct resolution into English Wikipedia is believed to exist. Fully automated cross-language person-name linking experiments with 20 non-English languages yielded a resolution accuracy of between 0.84 (Serbian) and 0.98 (Romanian), which compares favorably with previously reported cross-language entity linking results for Spanish.
  4. Gräbnitz, V.: PASSAT: Programm zur automatischen Selektion von Stichwörtern aus Texten (1987) 0.02 
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    Source
    Inhaltserschließung von Massendaten zur Wirksamkeit informationslinguistischer Verfahren am Beispiel des Deutschen Patentinformationssystems. Hrsg. J. Krause
  5. 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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  6. 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
  7. Campe, P.: Case, semantic roles, and grammatical relations : a comprehensive bibliography (1994) 0.02 
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    Imprint
    Amsterdam : J. Benjamins
  8. 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)
  9. 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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  10. 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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  11. Savoy, J.: ¬A stemming procedure and stopword list for general French Corpora (1999) 0.02 
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  12. 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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  13. Vilar, P.; Dimec, J.: Krnjenje kot osnova nekaterih nekonvencionalnih metod poizvedovanja (2000) 0.02 
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  14. 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
  15. Diaz, I.; Morato, J.; Lioréns, J.: ¬An algorithm for term conflation based on tree structures (2002) 0.02 
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  16. Ludwig, B.; Reischer, J.: Informationslinguistik in Regensburg (2012) 0.02 
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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.
  17. Sienel, J.; Weiss, M.; Laube, M.: Sprachtechnologien für die Informationsgesellschaft des 21. Jahrhunderts (2000) 0.02 
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    Date
    26.12.2000 13:22:17
  18. Luo, L.; Ju, J.; Li, Y.-F.; Haffari, G.; Xiong, B.; Pan, S.: ChatRule: mining logical rules with large language models for knowledge graph reasoning (2023) 0.02 
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    Date
    23.11.2023 19:07:22
  19. 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)
  20. 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

Authors

Years

Languages

  • e 111
  • d 44
  • m 4
  • f 3
  • slv 1
  • More… Less…

Types

  • a 128
  • m 19
  • el 16
  • s 14
  • x 3
  • d 2
  • p 2
  • b 1
  • More… Less…

Themes

Subjects

Classifications