Search (110 results, page 5 of 6)

  • × theme_ss:"Automatisches Indexieren"
  1. Ladewig, C.; Henkes, M.: Verfahren zur automatischen inhaltlichen Erschließung von elektronischen Texten : ASPECTIX (2001) 0.00 
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  2. Bloomfield, M.: Indexing : neglected and poorly understood (2001) 0.00 
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  3. Mansour, N.; Haraty, R.A.; Daher, W.; Houri, M.: ¬An auto-indexing method for Arabic text (2008) 0.00 
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  4. Correa, C.A.; Kobashi, N.Y.: ¬A hybrid model of automatic indexing based on paraconsitent logic 0.00 
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    Source
    Paradigms and conceptual systems in knowledge organization: Proceedings of the Eleventh International ISKO conference, Rome, 23-26 February 2010, ed. Claudio Gnoli, Indeks, Frankfurt M
  5. Banerjee, K.; Johnson, M.: Improving access to archival collections with automated entity extraction (2015) 0.00 
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  6. Fauzi, F.; Belkhatir, M.: Multifaceted conceptual image indexing on the world wide web (2013) 0.00 
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  7. Snajder, J.; Dalbelo Basic, B.D.; Tadic, M.: Automatic acquisition of inflectional lexica for morphological normalisation (2008) 0.00 
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  8. Zhitomirsky-Geffet, M.; Prebor, G.; Bloch, O.: Improving proverb search and retrieval with a generic multidimensional ontology (2017) 0.00 
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  9. Beckmann, R.; Hinrichs, I.; Janßen, M.; Milmeister, G.; Schäuble, P.: ¬Der Digitale Assistent DA-3 : Eine Plattform für die Inhaltserschließung (2019) 0.00 
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  10. Franke-Maier, M.; Beck, C.; Kasprzik, A.; Maas, J.F.; Pielmeier, S.; Wiesenmüller, H: ¬Ein Feuerwerk an Algorithmen und der Startschuss zur Bildung eines Kompetenznetzwerks für maschinelle Erschließung : Bericht zur Fachtagung Netzwerk maschinelle Erschließung an der Deutschen Nationalbibliothek am 10. und 11. Oktober 2019 (2020) 0.00 
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  11. Junger, U.; Scholze, F.: Neue Wege und Qualitäten : die Inhaltserschließungspolitik der Deutschen Nationalbibliothek (2021) 0.00 
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    Source
    Qualität in der Inhaltserschließung. Hrsg.: M. Franke-Maier, u.a
  12. Sack, H.: Hybride Künstliche Intelligenz in der automatisierten Inhaltserschließung (2021) 0.00 
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    Source
    Qualität in der Inhaltserschließung. Hrsg.: M. Franke-Maier, u.a
  13. Lowe, D.B.; Dollinger, I.; Koster, T.; Herbert, B.E.: Text mining for type of research classification (2021) 0.00 
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    Abstract
    This project brought together undergraduate students in Computer Science with librarians to mine abstracts of articles from the Texas A&M University Libraries' institutional repository, OAKTrust, in order to probe the creation of new metadata to improve discovery and use. The mining operation task consisted simply of classifying the articles into two categories of research type: basic research ("for understanding," "curiosity-based," or "knowledge-based") and applied research ("use-based"). These categories are fundamental especially for funders but are also important to researchers. The mining-to-classification steps took several iterations, but ultimately, we achieved good results with the toolkit BERT (Bidirectional Encoder Representations from Transformers). The project and its workflows represent a preview of what may lie ahead in the future of crafting metadata using text mining techniques to enhance discoverability.
  14. Asula, M.; Makke, J.; Freienthal, L.; Kuulmets, H.-A.; Sirel, R.: Kratt: developing an automatic subject indexing tool for the National Library of Estonia : how to transfer metadata information among work cluster members (2021) 0.00 
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  15. Qualität in der Inhaltserschließung (2021) 0.00 
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    Editor
    Franke-Maier, M., A. Kasprzik, A. Ledl u. H. Schürmann
    Type
    m
  16. Hauer, M: Silicon Valley Vorarlberg : Maschinelle Indexierung und semantisches Retrieval verbessert den Katalog der Vorarlberger Landesbibliothek (2004) 0.00 
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  17. Golub, K.; Lykke, M.; Tudhope, D.: Enhancing social tagging with automated keywords from the Dewey Decimal Classification (2014) 0.00 
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  18. Mittelbach, J.; Probst, M.: Möglichkeiten und Grenzen maschineller Indexierung in der Sacherschließung : Strategien für das Bibliothekssystem der Freien Universität Berlin (2006) 0.00 
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  19. Groß, T.: Automatische Indexierung von Dokumenten in einer wissenschaftlichen Bibliothek : Implementierung und Evaluierung am Beispiel der Deutschen Zentralbibliothek für Wirtschaftswissenschaften (2011) 0.00 
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  20. Donahue, J.; Hendricks, L.A.; Guadarrama, S.; Rohrbach, M.; Venugopalan, S.; Saenko, K.; Darrell, T.: Long-term recurrent convolutional networks for visual recognition and description (2014) 0.00 
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Authors

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  • f 2
  • m 2
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  • m 18
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  • s 5
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