Publication Records

NOVOTNÝ, Vít. Co nám jazykové modely říkají o manželství? (What Do Language Models Tell Us About Marriage?). Běstvina, 2023.

NOVOTNÝ, Vít, Michal ŠTEFÁNIK, Eniafe Festus AYETIRAN, Petr SOJKA and Radim ŘEHŮŘEK. When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting. Journal of Universal Computer Science. New York, USA: J.UCS Consortium, 2022, vol. 28, No 2, p. 181-201. ISSN 0948-695X. Available from: https://dx.doi.org/10.3897/jucs.69619.

NOVOTNÝ, Vít, Eniafe Festus AYETIRAN, Dávid LUPTÁK, Michal ŠTEFÁNIK and Petr SOJKA. One Size Does Not Fit All: Finding the Optimal N-gram Sizes for FastText Models across Languages. New York, USA: Cornell University, 2021.

NOVOTNÝ, Vít. The Art of Reproducible Machine Learning: A Survey of Methodology in Word Vector Experiments. In Aleš Horák, Pavel Rychlý, Adam Rambousek. Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020. Brno: Tribun EU, 2020, p. 55-64. ISBN 978-80-263-1600-8.

NOVOTNÝ, Vít, Michal ŠTEFÁNIK, Dávid LUPTÁK and Petr SOJKA. Towards Useful Word Embeddings: Evaluation on Information Retrieval, Text Classification, and Language Modeling. In Aleš Horák and Pavel Rychlý and Adam Rambousek. Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020. Brno: Tribun EU, 2020, p. 37-46. ISBN 978-80-263-1600-8.