Search (224 results, page 11 of 12)

  • × theme_ss:"Automatisches Indexieren"
  • × language_ss:"e"
  • × type_ss:"a"
  1. Lu, K.; Mao, J.; Li, G.: Toward effective automated weighted subject indexing : a comparison of different approaches in different environments (2018) 1.00
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  2. Toepfer, M.; Seifert, C.: Content-based quality estimation for automatic subject indexing of short texts under precision and recall constraints 1.00
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  3. Munkelt, J.: Erstellung einer DNB-Retrieval-Testkollektion (2018) 1.00
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  4. Munkelt, J.; Schaer, P.; Lepsky, K.: Towards an IR test collection for the German National Library (2018) 1.00
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  5. Souza, R.R.; Gil-Leiva, I.: Automatic indexing of scientific texts : a methodological comparison (2016) 1.00
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  6. Li, X.; Zhang, A.; Li, C.; Ouyang, J.; Cai, Y.: Exploring coherent topics by topic modeling with term weighting (2018) 1.00
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  7. Wolfe, EW.: a case study in automated metadata enhancement : Natural Language Processing in the humanities (2019) 1.00
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  8. Golub, K.: Automatic subject indexing of text (2019) 1.00
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  9. Wang, S.; Koopman, R.: Embed first, then predict (2019) 1.00
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  10. Short, M.: Text mining and subject analysis for fiction; or, using machine learning and information extraction to assign subject headings to dime novels (2019) 1.00
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  11. Greiner-Petter, A.; Schubotz, M.; Cohl, H.S.; Gipp, B.: Semantic preserving bijective mappings for expressions involving special functions between computer algebra systems and document preparation systems (2019) 1.00
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  12. Zhang, Y.; Zhang, C.; Li, J.: Joint modeling of characters, words, and conversation contexts for microblog keyphrase extraction (2020) 1.00
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  13. Simões, M. da Graça; Machado, L.M.; Souza, R.R.; Almeida, M.B.; Tavares Lopes, A.: Automatic indexing and ontologies : the consistency of research chronology and authoring in the context of Information Science (2018) 1.00
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  14. 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) 1.00
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  15. Villaespesa, E.; Crider, S.: ¬A critical comparison analysis between human and machine-generated tags for the Metropolitan Museum of Art's collection (2021) 1.00
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  16. Matthews, P.; Glitre, K.: Genre analysis of movies using a topic model of plot summaries (2021) 1.00
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  17. Suominen, O.; Koskenniemi, I.: Annif Analyzer Shootout : comparing text lemmatization methods for automated subject indexing (2022) 1.00
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  18. 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) 1.00
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  19. Golub, K.: Automated subject indexing : an overview (2021) 1.00
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  20. Lowe, D.B.; Dollinger, I.; Koster, T.; Herbert, B.E.: Text mining for type of research classification (2021) 1.00
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