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  1. Hafter, R.: ¬The performance of card catalogs : a review of research (1979) 0.11
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    Date
    3.10.2000 20:48:22
    Source
    Library research. 1(1979), S.199-222
  2. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.10
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  3. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.10
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    Abstract
    This research revisits the classic Turing test and compares recent large language models such as ChatGPT for their abilities to reproduce human-level comprehension and compelling text generation. Two task challenges- summary and question answering- prompt ChatGPT to produce original content (98-99%) from a single text entry and sequential questions initially posed by Turing in 1950. We score the original and generated content against the OpenAI GPT-2 Output Detector from 2019, and establish multiple cases where the generated content proves original and undetectable (98%). The question of a machine fooling a human judge recedes in this work relative to the question of "how would one prove it?" The original contribution of the work presents a metric and simple grammatical set for understanding the writing mechanics of chatbots in evaluating their readability and statistical clarity, engagement, delivery, overall quality, and plagiarism risks. While Turing's original prose scores at least 14% below the machine-generated output, whether an algorithm displays hints of Turing's true initial thoughts (the "Lovelace 2.0" test) remains unanswerable.
    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  4. Lynch, C.A.; Preston, C.M.: Describing and classifying networked information resources (1992) 0.09
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    Source
    Electronic networking: research, applications, and policy. 2(1992) no.1, S.10-22
  5. Morris, S.A.: Mapping research specialties (2008) 0.09
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    Date
    13. 7.2008 9:30:22
  6. Sillince, J.A.A.: Intelligent argumentation systems : requirements, models, research agenda, and applications (1997) 0.09
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    Source
    Encyclopedia of library and information science. Vol.59, [=Suppl.22]
  7. Elliott, P.: Reporting LIS research : a review article (1990) 0.09
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    Abstract
    Discusses the problem of library and information science research publishing and reviews the monographs, abstracting services and periodicals that disseminate information about research.
    Source
    Librarianship. 22(1990), no.4, S.257-264
  8. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.08
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    Date
    25. 8.2005 17:42:22
    Source
    Library and information research news. 24(2000) no.77, S.30-34
  9. Forsman, R.B.: Managing the electronic resources transforming research libraries : challenges in the dynamic digital environment (1998) 0.08
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    Source
    Advances in librarianship. 22(1998), S.1-20
  10. Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000) 0.08
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    Source
    Library and information science research. 22(2000) no.4, S.371-382
  11. Coates, E.J.: CRG proposals for a new general classification (1969) 0.08
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    Pages
    S.19-22
    Series
    Library Association Research Publications; no.1
    Source
    Classification and information control. Papers representing the work of the Classification Research Group during 1960-1968
  12. Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005) 0.08
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    Date
    20. 1.2007 17:02:22
    Footnote
    Einleitung zu einem Themenheft "Bibliometrics Research"
  13. Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998) 0.07
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    Abstract
    Derives a 'literature variable exponential growth model' from Price's literature growth model. The research shows that the new model is more convincing than the former ones. Gives detailed calculation procedure, examples, parameter values and mean square errors
    Date
    22. 5.1999 19:22:35
  14. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.07
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    Date
    22. 7.2006 15:22:28
    Source
    Information Research. 6(2001), no.2
  15. Recker, I.; Ronthaler, M.; Zillmann, H.: OSIRIS - Osnabrück Intelligent Research Information System : ein Hyperbase Front End System für OPACs (1996) 0.07
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    Date
    22. 4.1996 20:07:57
  16. Davis, C.: Some experiences of an Internet researcher (1996) 0.07
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    Abstract
    Reports work as an independent Internet researcher in the field of library research in the USA
    Source
    Audiovisual librarian. 22(1996) no.2, A.112-113
  17. McIlvaine, E.: Selected reference books of 1998-1999 (1999) 0.07
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    Date
    29.12.1999 13:22:36
    Source
    College and research libraries. 60(1999) no.5, S.479-491
  18. Subramanian, S.; Shafer, K.E.: Clustering (2001) 0.07
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    Date
    5. 5.2003 14:17:22
    Footnote
    Teil eines Themenheftes: OCLC and the Internet: An Historical Overview of Research Activities, 1990-1999 - Part II
  19. Qin, J.; Paling, S.: Converting a controlled vocabulary into an ontology : the case of GEM (2001) 0.07
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    Date
    24. 8.2005 19:20:22
    Source
    Information Research. 6(2001), no.2
  20. Zhang, L.; Pan, Y.; Zhang, T.: Focused named entity recognition using machine learning (2004) 0.07
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    Date
    15.10.2005 19:57:22
    Source
    SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a

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