# Unsupervised Keyword Extraction from Polish Legal Texts

arXiv: https://arxiv.org/abs/1408.3731 · HTML: https://mlsanity.com/paper/1408.3731/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Aug 2014.

## Built on by (most cited first, 2 of 2)

- [Keyword Extraction in Scientific Documents](https://mlsanity.com/paper/2207.01888/) (2022)
- [Stop Words for Processing Software Engineering Documents: Do they Matter?](https://mlsanity.com/paper/2303.10439/) (2023)

## Abstract (arXiv)

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.