Zobrazeno 1 - 10
of 846
pro vyhledávání: '"Sedivy, P."'
Publikováno v:
Journal of the National Council of Less Commonly Taught Languages, Vol 36, Pp 55-118 (2024)
This inquiry focuses on students’ self-reports of time spent on and their perception of full engagement in multiple L2 language learning and use activities. It is part of a multi-year, mixed-methods research study of university students enrolled in
Externí odkaz:
https://doaj.org/article/7bc593b2e18d474abcea52651219fdaf
Autor:
Pichl, Jan, Marek, Petr, Konrád, Jakub, Lorenc, Petr, Kobza, Ondřej, Zajíček, Tomáš, Šedivý, Jan
Publikováno v:
NAACL Demo Track (2022) 39-45
This paper presents a conversational AI platform called Flowstorm. Flowstorm is an open-source SaaS project suitable for creating, running, and analyzing conversational applications. Thanks to the fast and fully automated build process, the dialogues
Externí odkaz:
http://arxiv.org/abs/2212.09377
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract The long interspersed nuclear element-1 (LINE-1 or L1) retrotransposon is the only active autonomously replicating retrotransposon in the human genome. L1 harms the cell by inserting new copies, generating DNA damage, and triggering inflamma
Externí odkaz:
https://doaj.org/article/5e4909ae224c43a3913f3fc5d61b1e24
Autor:
Katarzyna Sedivy-Mączka
Publikováno v:
Logopaedica Lodziensia, Iss 7, Pp 187-199 (2023)
Możliwości porozumiewania się wpływają na jakość i komfort życia. Ważnym problemem jest sposób komunikacji niemówiących osób z autyzmem i dobór odpowiednich narzędzi do przekazywania myśli. Przedstawione w artykule badanie pilotażowe
Externí odkaz:
https://doaj.org/article/6546553650eb41c5935d3e2e21aa705a
Autor:
Lorenc, Petr, Gargiani, Tommaso, Pichl, Jan, Konrád, Jakub, Marek, Petr, Kobza, Ondřej, Šedivý, Jan
Conversational agents are usually designed for closed-world environments. Unfortunately, users can behave unexpectedly. Based on the open-world environment, we often encounter the situation that the training and test data are sampled from different d
Externí odkaz:
http://arxiv.org/abs/2204.10849
The high prevalence of depression in society has given rise to the need for new digital tools to assist in its early detection. To this end, existing research has mainly focused on detecting depression in the domain of social media, where there is a
Externí odkaz:
http://arxiv.org/abs/2204.10841
Autor:
Jef D. Boeke, Kathleen H. Burns, Katherine B. Chiappinelli, Marie Classon, John M. Coffin, Daniel D. DeCarvalho, Joseph D. Dukes, Benjamin Greenbaum, George Kassiotis, Sarah K. Knutson, Arnold J. Levine, Avindra Nath, Sophie Papa, Daniel Rios, John Sedivy, David T. Ting
Publikováno v:
Mobile DNA, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract In November 2022 the first Dark Genome Symposium was held in Boston, USA. The meeting was hosted by Rome Therapeutics and Enara Bio, two biotechnology companies working on translating our growing understanding of this vast genetic landscape
Externí odkaz:
https://doaj.org/article/afb42101dc1c4afbabb0c6b4ea01ef97
Autor:
Konrád, Jakub, Pichl, Jan, Marek, Petr, Lorenc, Petr, Ta, Van Duy, Kobza, Ondřej, Hýlová, Lenka, Šedivý, Jan
The open domain-dialogue system Alquist has a goal to conduct a coherent and engaging conversation that can be considered as one of the benchmarks of social intelligence. The fourth version of the system, developed within the Alexa Prize Socialbot Gr
Externí odkaz:
http://arxiv.org/abs/2109.07968
Publikováno v:
Buildings, Vol 14, Iss 6, p 1712 (2024)
This article presents a comparative analysis of two prominent machine learning techniques for predicting electricity consumption in workplace lighting systems: polynomial regression analysis and artificial neural networks. The primary objective is to
Externí odkaz:
https://doaj.org/article/b82f6cd3206d43778966c2739b43b781
Publikováno v:
The Prague Bulletin of Mathematical Linguistics 2021 116
The foundation for the research of summarization in the Czech language was laid by the work of Straka et al. (2018). They published the SumeCzech, a large Czech news-based summarization dataset, and proposed several baseline approaches. However, it i
Externí odkaz:
http://arxiv.org/abs/2104.10454