Search (195 results, page 1 of 10)

  • × year_i:[2020 TO 2030}
  1. Bodoff, D.; Richter-Levin, Y.: Viewpoints in indexing term assignment (2020) 0.08 
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    Abstract
    The literature on assigned indexing considers three possible viewpoints-the author's viewpoint as evidenced in the title, the users' viewpoint, and the indexer's viewpoint-and asks whether and which of those views should be reflected in an indexer's choice of terms to assign to an item. We study this question empirically, as opposed to normatively. Based on the literature that discusses whose viewpoints should be reflected, we construct a research model that includes those same three viewpoints as factors that might be influencing term assignment in actual practice. In the unique study design that we employ, the records of term assignments made by identified indexers in academic libraries are cross-referenced with the results of a survey that those same indexers completed on political views. Our results indicate that in our setting, variance in term assignment was best explained by indexers' personal political views.
  2. Wang, S.; Ma, Y.; Mao, J.; Bai, Y.; Liang, Z.; Li, G.: Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities : On the rise of scrape-and-report scholarship in online reviews research (2023) 0.07 
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    Date
    22. 1.2023 18:37:33
  3. Jiang, Y.; Meng, R.; Huang, Y.; Lu, W.; Liu, J.: Generating keyphrases for readers : a controllable keyphrase generation framework (2023) 0.07 
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    Date
    22. 6.2023 14:55:20
  4. Ma, Y.: Relatedness and compatibility : the concept of privacy in Mandarin Chinese and American English corpora (2023) 0.06 
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    Date
    22. 1.2023 18:59:40
  5. Milard, B.; Pitarch, Y.: Egocentric cocitation networks and scientific papers destinies (2023) 0.06 
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    Date
    21. 3.2023 19:22:14
  6. Zhang, X.; Wang, D.; Tang, Y.; Xiao, Q.: How question type influences knowledge withholding in social Q&A community (2023) 0.06 
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    Date
    22. 9.2023 13:51:47
  7. Chi, Y.; He, D.; Jeng, W.: Laypeople's source selection in online health information-seeking process (2020) 0.05 
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    Date
    12.11.2020 13:22:09
  8. Huang, T.; Nie, R.; Zhao, Y.: Archival knowledge in the field of personal archiving : an exploratory study based on grounded theory (2021) 0.05 
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    22. 1.2021 14:20:27
  9. Oh, H.; Nam, S.; Zhu, Y.: Structured abstract summarization of scientific articles : summarization using full-text section information (2023) 0.05 
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    Date
    22. 1.2023 18:57:12
  10. Belabbes, M.A.; Ruthven, I.; Moshfeghi, Y.; Rasmussen Pennington, D.: Information overload : a concept analysis (2023) 0.05 
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    Date
    22. 4.2023 19:27:56
  11. Zhang, Y.; Liu, J.; Song, S.: ¬The design and evaluation of a nudge-based interface to facilitate consumers' evaluation of online health information credibility (2023) 0.05 
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    Date
    22. 6.2023 18:18:34
  12. Zhang, Y.; Wu, M.; Zhang, G.; Lu, J.: Stepping beyond your comfort zone : diffusion-based network analytics for knowledge trajectory recommendation (2023) 0.05 
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    22. 6.2023 18:07:12
  13. Vakkari, P.; Järvelin, K.; Chang, Y.-W.: ¬The association of disciplinary background with the evolution of topics and methods in Library and Information Science research 1995-2015 (2023) 0.05 
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    Date
    22. 6.2023 18:15:06
  14. 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) 0.05 
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    Date
    23.11.2023 19:07:22
  15. Agüera y Arcas, B.: Artificial neural networks are making strides towards consciousness (2022) 0.05 
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    Source
    ¬The Economist. 2022, [https://www.economist.com/by-invitation/2022/06/09/artificial-neural-networks-are-making-strides-towards-consciousness-according-to-blaise-aguera-y-arcas?giftId=89e08696-9884-4670-b164-df58fffdf067]
  16. Lee, Y.-Y.; Ke, H.; Yen, T.-Y.; Huang, H.-H.; Chen, H.-H.: Combining and learning word embedding with WordNet for semantic relatedness and similarity measurement (2020) 0.04 
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  18. Liu, M.; Bu, Y.; Chen, C.; Xu, J.; Li, D.; Leng, Y.; Freeman, R.B.; Meyer, E.T.; Yoon, W.; Sung, M.; Jeong, M.; Lee, J.; Kang, J.; Min, C.; Zhai, Y.; Song, M.; Ding, Y.: Pandemics are catalysts of scientific novelty : evidence from COVID-19 (2022) 0.03 
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  19. Zhao, Y.(C.); Du, J.T.; Pang, N.; Raju, J.; Yan, H.: JASIST special issue on ICT4D and intersections with the information field : guest editorial (2023) 0.03 
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  20. Hofstadter, D.: Artificial neural networks today are not conscious (2022) 0.03 
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    Content
    Vgl. auch: Agüera y Arcas, B.: Artificial neural networks are making strides towards consciousness..

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