Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ilia Kuznetsov"'
Publikováno v:
Computational Linguistics, Vol 48, Iss 4 (2022)
Peer review is a key component of the publishing process in most fields of science. Increasing submission rates put a strain on reviewing quality and efficiency, motivating the development of applications to support the reviewing and editorial work.
Externí odkaz:
https://doaj.org/article/253988e94b0746eda984ede06d09c3cb
Autor:
ILIA KUZNETSOV, ELENA SHCHERBINA
Publikováno v:
News of higher educational institutions. Construction. :72-84
Autor:
Elisabeth Bauer, Martin Greisel, Ilia Kuznetsov, Markus Berndt, Ingo Kollar, Markus Dresel, Martin R. Fischer, Frank Fischer
Publikováno v:
British Journal of Educational Technology.
Advancements in artificial intelligence are rapidly increasing. The new-generation large language models, such as ChatGPT and GPT-4, bear the potential to transform educational approaches, such as peer-feedback. To investigate peer-feedback at the in
Publikováno v:
InterCarto. InterGIS. 28:261-275
The article discusses content and some results of a study devoted to the integration of a geographic information system (GIS) with medical information systems (MIS). The GIS is developed upon the basis of QGIS software. The MISs used in Russian medic
Autor:
Gabriele Franzese, Nuria Andres Santiuste, Carmen Porto, Giuseppe Mongelluzzo, Fabio Cozzolino, Francesca Esposito, Ignacio Arruego, Joaquin Rivas, Jose Ramon De Mingo, Alan Cosimo Ruggeri, Alberto Martin-Ortega, Fausto Cortecchia, Ciprian Ionut Popa, Simone Silvestro, Daniele Brienza, Ilia Kuznetsov, Alexander Zakharov, Gennady Dolnikov, Andrew Lyash, Igor Dokuchaev
Publikováno v:
2022 IEEE 9th International Workshop on Metrology for AeroSpace (MetroAeroSpace).
Publikováno v:
Computational Linguistics, Vol 46, Iss 2, Pp 335-385 (2020)
Despite an ever growing number of word representation models introduced for a large number of languages, there is a lack of a standardized technique to provide insights into what is captured by these models. Such insights would help the community to
Publikováno v:
PROCEEDINGS.
Autor:
Iryna Gurevych, Ilia Kuznetsov
Publikováno v:
EMNLP (1)
Deep pre-trained contextualized encoders like BERT (Delvin et al., 2019) demonstrate remarkable performance on a range of downstream tasks. A recent line of research in probing investigates the linguistic knowledge implicitly learned by these models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31ec60b7c7199e11a45b1953137957fa
http://arxiv.org/abs/2004.14999
http://arxiv.org/abs/2004.14999
Autor:
Andrey Lyash, A. V. Zakharov, Gennady Dolnikov, S. I. Popel, N. D. Borisov, V. V. Afonin, Inna Shashkova, Ilia Kuznetsov
Publikováno v:
Solar System Research. 51:611-622
Physical conditions in the near-surface layer of the Moon are overviewed. This medium is formed in the course of the permanent micrometeoroid bombardment of the lunar regolith and due to the exposure of the regolith to solar radiation and high-energy
Publikováno v:
NAACL-HLT (1)
Peer review is a core element of the scientific process, particularly in conference-centered fields such as ML and NLP. However, only few studies have evaluated its properties empirically. Aiming to fill this gap, we present a corpus that contains ov