Czech Text Document Corpus v 2.0

TL;DR

The paper introduces Czech Text Document Corpus v 2.0, a comprehensive, multi-label, morphologically annotated Czech language dataset designed to facilitate and benchmark automatic document classification methods.

Contribution

It provides a new Czech language corpus with multi-label and morphological annotations, enabling straightforward comparison of classification approaches.

Findings

State-of-the-art methods evaluated on the corpus

Facilitates benchmarking for Czech document classification

Supports multi-label and morphological analysis

Abstract

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 http://ctdc.kiv.zcu.cz/. 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.