Zobrazeno 1 - 10
of 952
pro vyhledávání: '"Straková, P."'
Autor:
Straka, Milan, Straková, Jana
We present an open-source web service for Czech morphosyntactic analysis. The system combines a deep learning model with rescoring by a high-precision morphological dictionary at inference time. We show that our hybrid method surpasses two competitiv
Externí odkaz:
http://arxiv.org/abs/2406.12422
Autor:
Vonášek, Josef, Straka, Milan, Krč, Rostislav, Lasoňová, Lenka, Egorova, Ekaterina, Straková, Jana, Náplava, Jakub
We present CWRCzech, Click Web Ranking dataset for Czech, a 100M query-document Czech click dataset for relevance ranking with user behavior data collected from search engine logs of Seznam$.$cz. To the best of our knowledge, CWRCzech is the largest
Externí odkaz:
http://arxiv.org/abs/2405.20994
Publikováno v:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 12455-12466
We focus on morphological inflection in out-of-vocabulary (OOV) conditions, an under-researched subtask in which state-of-the-art systems usually are less effective. We developed three systems: a retrograde model and two sequence-to-sequence (seq2seq
Externí odkaz:
http://arxiv.org/abs/2404.08974
We present LatinPipe, the winning submission to the EvaLatin 2024 Dependency Parsing shared task. Our system consists of a fine-tuned concatenation of base and large pre-trained LMs, with a dot-product attention head for parsing and softmax classific
Externí odkaz:
http://arxiv.org/abs/2404.05839
In this project, we have investigated the use of advanced machine learning methods, specifically fine-tuned large language models, for pre-annotating data for a lexical extension task, namely adding descriptive words (verbs) to an existing (but incom
Externí odkaz:
http://arxiv.org/abs/2306.02130
Autor:
Veronika Niščáková, Alexandra Gubóová, Ondrej Petruš, Haojie Fei, Miroslav Almáši, Andrea Straková Fedorková
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract With the rising demand for electricity storage devices, the performance requirements for such equipment have become increasingly stringent. Lithium-sulfur (Li-S) batteries are poised to be among the next generation of energy storage systems.
Externí odkaz:
https://doaj.org/article/30754bf8946f434baf7e8bd1eaf46708
Publikováno v:
Entrepreneurship and Sustainability Issues, Vol 12, Iss 1, Pp 138-151 (2024)
The main aim of this article is to identify the evolution of the importance of supplier-customer relations in the period of crisis and the factors influencing the change of this importance. The research question was answered by testing a total of 6 h
Externí odkaz:
https://doaj.org/article/226c03a2c3f143cba1b57f58841bcfe4
Autor:
Michal Frelich, Peter Sklienka, Tereza Romanová, Simona Němcová, Markéta Bílená, Hana Straková, Karolína Lečbychová, Ondřej Jor, Martin Formánek, Filip Burša
Publikováno v:
BMC Anesthesiology, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Postoperative nausea and vomiting (PONV) is a significant problem following paediatric surgery, and volatile anaesthetics are an important cause of this phenomenon. BIS-guided anaesthesia, by reducing the consumption of anaestheti
Externí odkaz:
https://doaj.org/article/ecb30e5a8d34462aaf0948d1da8d68bb
Autor:
Štefanič Pavol, Straková Zuzana
Publikováno v:
Slovak Journal of Civil Engineering, Vol 32, Iss 2, Pp 21-26 (2024)
Facilities for children and young people should be established in a healthy environment that is protected from external health-damaging factors, such as noise, air pollution, and negative educational influences. A school building should also be a saf
Externí odkaz:
https://doaj.org/article/1b4521fa33ae4bd9a9f1a4e388b6b7eb
Autor:
Straka, Milan, Straková, Jana
We describe the winning submission to the CRAC 2022 Shared Task on Multilingual Coreference Resolution. Our system first solves mention detection and then coreference linking on the retrieved spans with an antecedent-maximization approach, and both t
Externí odkaz:
http://arxiv.org/abs/2209.07278