Unsupervised Keyword Extraction from Polish Legal Texts

  • Michał Jungiewicz
  • Michał Łopuszyński
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8686)


In this work, we present an application of the recently proposed unsupervised keyword extraction algorithm RAKE to a corpus of Polish legal texts from the field of public procurement. RAKE is essentially a language and domain independent method. Its only language-specific input is a stoplist containing a set of non-content words. The performance of the method heavily depends on the choice of such a stoplist, which should be domain adopted. Therefore, we complement RAKE algorithm with an automatic approach to selecting non-content words, which is based on the statistical properties of term distribution.


Keyword extraction unsupervised learning legal texts 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Michał Jungiewicz
    • 1
    • 2
  • Michał Łopuszyński
    • 1
  1. 1.Interdisciplinary Centre for Mathematical and Computational ModellingUniversity of WarsawWarsawPoland
  2. 2.Faculty of Electronics and Information TechnologyWarsaw University of TechnologyWarsawPoland

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