Search (24 results, page 1 of 2)

  • × year_i:[2020 TO 2030}
  1. Pielmeier, S.; Voß, V.; Carstensen, H.; Kahl, B.: Online-Workshop "Computerunterstützte Inhaltserschließung" 2020 (2021) 5.62 
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  2. Zhang, Y.; Zhang, C.; Li, J.: Joint modeling of characters, words, and conversation contexts for microblog keyphrase extraction (2020) 5.62 
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  3. 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) 5.62 
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  4. Mödden, E.: Maschinelle Beschlagwortung mit Algorithmen : Ein Blick in die Werkstatt des KI-Projektes der Deutschen Nationalbibliothek (2024) 5.62 
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  5. Yang, T.-H.; Hsieh, Y.-L.; Liu, S.-H.; Chang, Y.-C.; Hsu, W.-L.: ¬A flexible template generation and matching method with applications for publication reference metadata extraction (2021) 5.62 
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  6. Mödden, E.; Dreger, A.; Hommes, K.P.; Mohammadianbisheh, N.; Mölck, L.; Pinna, L.; Sitte-Zöllner, D.: ¬Der Weg zur Gründung der AG Erschließung ÖB-DNB und die Entwicklung eines maschinellen Verfahrens zur Verschlagwortung der Kinder- und Jugendliteratur mit GND-Vokabular (2020) 5.62 
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  7. Giesselbach, S.; Estler-Ziegler, T.: Dokumente schneller analysieren mit Künstlicher Intelligenz (2021) 5.62 
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  8. Villaespesa, E.; Crider, S.: ¬A critical comparison analysis between human and machine-generated tags for the Metropolitan Museum of Art's collection (2021) 5.62 
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  9. Junger, U.; Scholze, F.: Neue Wege und Qualitäten : die Inhaltserschließungspolitik der Deutschen Nationalbibliothek (2021) 5.62 
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  10. Pintscher, L.; Bourgonje, P.; Moreno Schneider, J.; Ostendorff, M.; Rehm, G.: Wissensbasen für die automatische Erschließung und ihre Qualität am Beispiel von Wikidata : die Inhaltserschließungspolitik der Deutschen Nationalbibliothek (2021) 5.62 
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  11. Sack, H.: Hybride Künstliche Intelligenz in der automatisierten Inhaltserschließung (2021) 5.62 
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  12. Matthews, P.; Glitre, K.: Genre analysis of movies using a topic model of plot summaries (2021) 5.62 
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  13. Schmucker, S.; Schöntube, C.: Fortschritte der Automatisierung und Kollaboration in der Sacherschließung : Bericht vom 6. Workshop "Computerunterstützte Inhaltserschließung" (2023) 5.62 
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  14. Suominen, O.; Koskenniemi, I.: Annif Analyzer Shootout : comparing text lemmatization methods for automated subject indexing (2022) 5.62 
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  15. Moulaison-Sandy, H.; Adkins, D.; Bossaller, J.; Cho, H.: ¬An automated approach to describing fiction : a methodology to use book reviews to identify affect (2021) 5.62 
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  16. Golub, K.: Automated subject indexing : an overview (2021) 5.62 
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  17. Lowe, D.B.; Dollinger, I.; Koster, T.; Herbert, B.E.: Text mining for type of research classification (2021) 5.62 
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  18. Oliver, C.: Leveraging KOS to extend our reach with automated processes (2021) 5.62 
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  19. 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) 5.62 
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  20. Qualität in der Inhaltserschließung (2021) 5.62 
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