Výpis publikací

NOVOTNÝ, Vít, Michal ŠTEFÁNIK, Eniafe Festus AYETIRAN, Petr SOJKA a 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, roč. 28, č. 2, s. 181-201. ISSN 0948-695X. Dostupné z: https://dx.doi.org/10.3897/jucs.69619.

AYETIRAN, Eniafe Festus, Petr SOJKA a Vít NOVOTNÝ. EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses. Knowledge-Based Systems. Elsevier, 2021, roč. 2021, č. 219, s. 106902-106915. ISSN 0950-7051. Dostupné z: https://dx.doi.org/10.1016/j.knosys.2021.106902.

NOVOTNÝ, Vít, Eniafe Festus AYETIRAN, Dalibor BAČOVSKÝ, Dávid LUPTÁK, Michal ŠTEFÁNIK a Petr SOJKA. One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages. In Mitkov, Ruslan and Angelova, Galia. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021). Varna, Bulgaria: INCOMA Ltd., 2021, s. 1068-1074. ISBN 978-954-452-072-4. Dostupné z: https://dx.doi.org/10.26615/978-954-452-072-4_120.

SOJKA, Petr, Vít NOVOTNÝ, Eniafe Festus AYETIRAN, Dávid LUPTÁK a Michal ŠTEFÁNIK. Quo Vadis, Math Information Retrieval. In Aleš Horák and Pavel Rychlý and Adam Rambousek. Proceedings of the Thirteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2019. Brno: Tribun EU, 2019, s. 117-128. ISBN 978-80-263-1517-9.