Czech Text Document Corpus v 2.0

Pavel Král and Ladislav Lenc
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) (2018)
BibTex  | PDF

Research topics

Document classification


This paper introduces "Czech Text Document Corpus v 2.0", a collection of text documents for automatic document classification in Czech language. It is composed of the text documents provided by the Czech News Agency and is freely available for research purposes at This corpus was created in order to facilitate a straightforward comparison of the document classification approaches on Czech data. It is particularly dedicated to evaluation of multi-label document classification approaches, because one document is usually labelled with more than one label. Besides the information about the document classes, the corpus is also annotated at the morphological layer. This paper further shows the results of selected state-of-the-art methods on this corpus to offer the possibility of an easy comparison with these approaches.

Authors of the publication

Back to Top