Unsupervised Keyword Extraction From Polish Legal Texts
Abstract
In this work, we present an application of the recently pro-
posed unsupervised keyword extraction algorithm RAKE to a corpus of
Polish legal texts from the field of public procurement. RAKE is essen-
tially 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.
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