Řešení dezinformací v srbochorvatštině: korpusy a experimenty
| Název práce v češtině: | Řešení dezinformací v srbochorvatštině: korpusy a experimenty |
|---|---|
| Název v anglickém jazyce: | Tackling misinformation in Serbo-Croatian: corpora and experiments |
| Klíčová slova: | NLP|dezinformace|srbochorvatština|korpus|klasifikace |
| Klíčová slova anglicky: | NLP|misinformation|fake news|Serbo-Croatian|corpora|classification |
| Akademický rok vypsání: | 2022/2023 |
| Typ práce: | diplomová práce |
| Jazyk práce: | |
| Ústav: | Ústav formální a aplikované lingvistiky (32-UFAL) |
| Vedoucí / školitel: | RNDr. Jiří Hana, Ph.D. |
| Řešitel: | skrytý - zadáno a potvrzeno stud. odd. |
| Datum přihlášení: | 29.03.2023 |
| Datum zadání: | 30.03.2023 |
| Datum potvrzení stud. oddělením: | 08.03.2024 |
| Zásady pro vypracování |
| Explore the area of misinformation in the news written in Serbo-Croatian (Serbian, Croatian, Bosnian, Montenegrin; closely related South Slavic languages).
- Create a news corpus with metadata describing whether the articles is trustworthy and if not then in which respect - Evaluate the possibilities of automatic processing, for example: - Classification of news articles: binary (truthful vs misinformation) or mutlilabel (fake news, pseudoscience, conspiracy theory, etc.) - Claim detection - extraction of claims from articles |
| Seznam odborné literatury |
| - Max Glockner, Yufang Hou, and Iryna Gurevych. 2022. Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5916–5936, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
- Zhijiang Guo, Michael Schlichtkrull, and Andreas Vlachos. 2022. A Survey on Automated Fact-Checking. Transactions of the Association for Computational Linguistics, 10:178–206. - Isabelle Augenstein. 2021. Towards Explainable Fact Checking. ArXiv, abs/2108.10274. - Nikola Ljubešić and Davor Lauc. 2021. BERTić - The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian. In Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing, pages 37–42, Kiyv, Ukraine. Association for Computational Linguistics. - James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018. FEVER: a Large-scale Dataset for Fact Extraction and VERification. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 809–819, New Orleans, Louisiana. Association for Computational Linguistics. |