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
- Editors:
- Ruslan Mitkov, Galia Angelova
- 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
- Cite (ACL):
- Pavel Přibáň, Tomáš Hercig, and Josef Steinberger. 2019. Machine Learning Approach to Fact-Checking in West Slavic Languages. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 973–979, Varna, Bulgaria. INCOMA Ltd..
- Cite (Informal):
- Machine Learning Approach to Fact-Checking in West Slavic Languages (Přibáň et al., RANLP 2019)
- PDF:
- https://preview.aclanthology.org/naacl24-info/R19-1113.pdf