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  1. 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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  2. Sack, H.: Hybride Künstliche Intelligenz in der automatisierten Inhaltserschließung (2021) 5.62
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  3. Matthews, P.; Glitre, K.: Genre analysis of movies using a topic model of plot summaries (2021) 5.62
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  4. Suominen, O.; Koskenniemi, I.: Annif Analyzer Shootout : comparing text lemmatization methods for automated subject indexing (2022) 5.62
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  5. 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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  6. Golub, K.: Automated subject indexing : an overview (2021) 5.62
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  7. Lowe, D.B.; Dollinger, I.; Koster, T.; Herbert, B.E.: Text mining for type of research classification (2021) 5.62
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  8. Oliver, C.: Leveraging KOS to extend our reach with automated processes (2021) 5.62
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  9. 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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  10. Qualität in der Inhaltserschließung (2021) 5.62
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  11. Lepsky, K.: Automatisches Indexieren (2023) 5.62
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  12. Kasprzik, A.: Aufbau eines produktiven Dienstes für die automatisierte Inhaltserschließung an der ZBW : ein Status- und Erfahrungsbericht. (2023) 5.62
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  13. Ahmed, M.: Automatic indexing for agriculture : designing a framework by deploying Agrovoc, Agris and Annif (2023) 5.62
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  14. Pollmeier, M.: Verlagsschlagwörter als Grundlage für den Einsatz eines maschinellen Verfahrens zur verbalen Erschließung der Kinder- und Jugendliteratur durch die Deutsche Nationalbibliothek : eine Datenanalyse (2019) 5.62
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  15. Chou, C.; Chu, T.: ¬An analysis of BERT (NLP) for assisted subject indexing for Project Gutenberg (2022) 5.62
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