Search (123 results, page 1 of 7)

  • × theme_ss:"Computerlinguistik"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.08 
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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
  2. Lezius, W.; Rapp, R.; Wettler, M.: ¬A morphology-system and part-of-speech tagger for German (1996) 0.08 
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    Date
    22. 3.2015 9:37:18
  3. Lezius, W.: Morphy - Morphologie und Tagging für das Deutsche (2013) 0.06 
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    Date
    22. 3.2015 9:30:24
  4. Bian, G.-W.; Chen, H.-H.: Cross-language information access to multilingual collections on the Internet (2000) 0.05 
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    Date
    16. 2.2000 14:22:39
  5. Rahmstorf, G.: Concept structures for large vocabularies (1998) 0.05 
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    Date
    30.12.2001 19:01:22
    Source
    Structures and relations in knowledge organization: Proceedings of the 5th International ISKO-Conference, Lille, 25.-29.8.1998. Ed.: W. Mustafa el Hadi et al
  6. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.05 
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    Date
    10. 1.2013 19:22:47
  7. Deventer, J.P. van; Kruger, C.J.; Johnson, R.D.: Delineating knowledge management through lexical analysis : a retrospective (2015) 0.04 
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    Abstract
    Purpose Academic authors tend to define terms that meet their own needs. Knowledge Management (KM) is a term that comes to mind and is examined in this study. Lexicographical research identified KM terms used by authors from 1996 to 2006 in academic outlets to define KM. Data were collected based on strict criteria which included that definitions should be unique instances. From 2006 onwards, these authors could not identify new unique instances of definitions with repetitive usage of such definition instances. Analysis revealed that KM is directly defined by People (Person and Organisation), Processes (Codify, Share, Leverage, and Process) and Contextualised Content (Information). The paper aims to discuss these issues. Design/methodology/approach The aim of this paper is to add to the body of knowledge in the KM discipline and supply KM practitioners and scholars with insight into what is commonly regarded to be KM so as to reignite the debate on what one could consider as KM. The lexicon used by KM scholars was evaluated though the application of lexicographical research methods as extended though Knowledge Discovery and Text Analysis methods. Findings By simplifying term relationships through the application of lexicographical research methods, as extended though Knowledge Discovery and Text Analysis methods, it was found that KM is directly defined by People (Person and Organisation), Processes (Codify, Share, Leverage, Process) and Contextualised Content (Information). One would therefore be able to indicate that KM, from an academic point of view, refers to people processing contextualised content.
    Research limitations/implications In total, 42 definitions were identified spanning a period of 11 years. This represented the first use of KM through the estimated apex of terms used. From 2006 onwards definitions were used in repetition, and all definitions that were considered to repeat were therefore subsequently excluded as not being unique instances. All definitions listed are by no means complete and exhaustive. The definitions are viewed outside the scope and context in which they were originally formulated and then used to review the key concepts in the definitions themselves. Social implications When the authors refer to the aforementioned discussion of KM content as well as the presentation of the method followed in this paper, the authors may have a few implications for future research in KM. First the research validates ideas presented by the OECD in 2005 pertaining to KM. It also validates that through the evolution of KM, the authors ended with a description of KM that may be seen as a standardised description. If the authors as academics and practitioners, for example, refer to KM as the same construct and/or idea, it has the potential to speculatively, distinguish between what KM may or may not be. Originality/value By simplifying the term used to define KM, by focusing on the most common definitions, the paper assist in refocusing KM by reconsidering the dimensions that is the most common in how it has been defined over time. This would hopefully assist in reigniting discussions about KM and how it may be used to the benefit of an organisation.
    Date
    20. 1.2015 18:30:22
  8. Linguistische Datenverarbeitung und neue Medien (1989) 0.03 
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    Editor
    Lenders, W.
  9. Heicking, W.: ¬Die Erzeugung von Tiefenkasusstrukturen im Sprachanalysesystem SYSAN (1985) 0.03 
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  10. Cowie, J.; Lehner, W.: Information extraction (1996) 0.03 
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  11. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.03 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  12. Lein, H.: Aspekte der Realisierung des semantischen Retrievals (1994) 0.03 
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    Source
    Blick Europa! Informations- und Dokumentenmanagement. Deutscher Dokumentartag 1994, Universität Trier, 27.-30.9.1994. Hrsg.: W. Neubauer
  13. Rahmstorf, G.: Semantisches Information Retrieval (1994) 0.03 
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    Source
    Blick Europa! Informations- und Dokumentenmanagement. Deutscher Dokumentartag 1994, Universität Trier, 27.-30.9.1994. Hrsg.: W. Neubauer
  14. Rolland, M.T.: Sachgebietsstandardisierung im Bereich der Informationswissenschaft (1996) 0.03 
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    Source
    Die digitale Revolution: Deutscher Dokumentartag 1996, Neue Universität Heidelberg, 24.-26.9.1996. Hrsg.: W. Neubauer
  15. Warner, A.J.: Natural language processing (1987) 0.03 
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    Annual review of information science and technology. 22(1987), S.79-108
  16. Ohly, H.P.; Binder, G.: Semantisches Retrieval mit sozialwissenschaftlichen Dokumenten : erste Erfahrungen mit RELATIO/IR (1994) 0.03 
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    Blick Europa! Informations- und Dokumentenmanagement. Deutscher Dokumentartag 1994, Universität Trier, 27.-30.9.1994. Hrsg.: W. Neubauer
  17. Goshawke, W.; Kelly, D.K.; Wigg, J.D.: Computer translation of natural language (1987) 0.03 
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  18. Alonge, A.; Calzolari, N.; Vossen, P.; Bloksma, L.; Castellon, I.; Marti, M.A.; Peters, W.: ¬The linguistic design of the EuroWordNet database (1998) 0.03 
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  19. Rodriguez, H.; Climent, S.; Vossen, P.; Bloksma, L.; Peters, W.; Alonge, A.; Bertagna, F.; Roventini, A.: ¬The top-down strategy for building EuroWordNet : vocabulary coverage, base concept and top ontology (1998) 0.03 
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Authors

Years

Languages

  • e 84
  • d 36
  • m 3
  • More… Less…

Types

  • a 92
  • m 18
  • s 11
  • el 10
  • x 3
  • d 2
  • p 2
  • More… Less…

Themes

Subjects

Classifications