Zdeněk Kasner
Main Research Interests
- Natural Language Generation
- Machine Translation
Projects
- PhD thesis topic: Domain Adaptation for Natural Language Generation
Curriculum Vitae
- 2019-now: PhD Degree in Computational Linguistics; Institute of Formal and Applied Linguistics, Charles University.
- thesis topic: Domain Adaptation for Natural Language Generation
- 2016-2019: Masters Degree in Artificial Intelligence; Faculty of Electrical Engineering, CTU in Prague.
- thesis topic: Incorporating Language Models into Non-autoregressive Neural Machine Translation
- minor degree in Computer Vision
- 2017: Erasmus @ KU Leuven, Belgium.
- 2013 - 2016 : Bachelors Degree in Computer Science; Faculty of Information Technology, CTU in Prague.
- thesis topic: Flow-Based Classification of Devices in Computer Networks
- graduated with honors
Selected Bibliography
- Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference. In: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), pp. 131-137, Association for Computational Linguistics, Stroudsburgh, PA, USA, ISBN 978-1-952148-54-5 (url, bibtex)
- Data-to-Text Generation with Iterative Text Editing. In: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), pp. 60-67, Association for Computational Linguistics, Stroudsburgh, PA, USA, ISBN 978-1-952148-54-5 (url, bibtex)
- Expand and Filter: CUNI and LMU Systems for the WNGT 2020 Duolingo Shared Task. In: Proceedings of the Fourth Workshop on Neural Generation and Translation, pp. 153-160, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-952148-17-0 (url, local PDF, bibtex)
Other
- ORCID ID: 0000-0002-5753-5538