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On Building a Referee’s Avatar

  • Algirdas Avižienis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6875)

Abstract

This paper discusses work in progress aimed at creating a “referee’s avatar” that can provide assistance in the evaluation of the content and originality of scientific and technical natural language texts. The first step towards this goal is the systematic classification of text faults.

Keywords

Form Fault Human Expert Content Fault Originality Fault Secure Computing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Avižienis, A., Laprie, J.-C., Randell, B., Landwehr, C.: Basic concepts and taxonomy of dependable and secure computing. IEEE Transactions on Dependable and Secure Computing 1(1), 11–33 (2004)CrossRefGoogle Scholar
  2. 2.
  3. 3.
    Avižienis, A., Grigonyte, G., Haller, J., von Henke, F., Liebig, T., Noppens, O.: Organizing knowledge as an ontology of the domain of resilient computing by means of natural language processing – an experience report. In: Proceedings of FLAIRS-22, 22nd International Florida Artificial Intelligence Research Society Conference, Sanibel Island, FL (May 2009)Google Scholar
  4. 4.
    Avižienis, A.: On the dependability of scientific and technical texts. In: Proceedings of DSN 2010, Supplemental Volume, Chicago, IL (June 2010) Google Scholar
  5. 5.
    Grigonytė, G.: Building and evaluating domain ontologies: NLP contributions. Ph.D. thesis, University of Saarland, Logos Verlag, Berlin (May 2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Algirdas Avižienis
    • 1
    • 2
  1. 1.University of CaliforniaLos AngelesUSA
  2. 2.Vytautas Magnus UniversityKaunasLithuania

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