Machine Learning Approach to Fact-Checking in West Slavic Languages

Pavel Přibáň, Tomáš Hercig, Josef Steinberger


Abstract
Fake news detection and closely-related fact-checking have recently attracted a lot of attention. Automatization of these tasks has been already studied for English. For other languages, only a few studies can be found (e.g. (Baly et al., 2018)), and to the best of our knowledge, no research has been conducted for West Slavic languages. In this paper, we present datasets for Czech, Polish, and Slovak. We also ran initial experiments which set a baseline for further research into this area.
Anthology ID:
R19-1113
Volume:
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
Month:
September
Year:
2019
Address:
Varna, Bulgaria
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
973–979
Language:
URL:
https://aclanthology.org/R19-1113
DOI:
10.26615/978-954-452-056-4_113
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/R19-1113.pdf