Meta-level Information Extraction

  • Peter Kluegl
  • Martin Atzmueller
  • Frank Puppe
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5803)


This paper presents a novel approach for meta-level information extraction (IE). The common IE process model is extended by utilizing transfer knowledge and meta-features that are created according to already extracted information. We present two real-world case studies demonstrating the applicability and benefit of the approach and directly show how the proposed method improves the accuracy of the applied information extraction technique.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Peter Kluegl
    • 1
  • Martin Atzmueller
    • 1
  • Frank Puppe
    • 1
  1. 1.Department of Computer Science VIUniversity of WürzburgWürzburgGermany

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