Zobrazeno 1 - 10
of 10 851
pro vyhledávání: '"Kolesnikova A."'
Stress is a common feeling in daily life, but it can affect mental well-being in some situations, the development of robust detection models is imperative. This study introduces a methodical approach to the stress identification in code-mixed texts f
Externí odkaz:
http://arxiv.org/abs/2410.06428
Autor:
Yigezu, Mesay Gemeda, Mersha, Melkamu Abay, Bade, Girma Yohannis, Kalita, Jugal, Kolesnikova, Olga, Gelbukh, Alexander
Publikováno v:
ACLing 2024: 6th International Conference on AI in Computational Linguistics
The proliferation of fake news has emerged as a significant threat to the integrity of information dissemination, particularly on social media platforms. Misinformation can spread quickly due to the ease of creating and disseminating content, affecti
Externí odkaz:
http://arxiv.org/abs/2410.02609
This study performs analysis of Predictive statements, Hope speech, and Regret Detection behaviors within cryptocurrency-related discussions, leveraging advanced natural language processing techniques. We introduce a novel classification scheme named
Externí odkaz:
http://arxiv.org/abs/2409.02836
This study delves into the relationship between emotional trends from X platform data and the market dynamics of well-known cryptocurrencies Cardano, Binance, Fantom, Matic, and Ripple over the period from October 2022 to March 2023. Leveraging Senti
Externí odkaz:
http://arxiv.org/abs/2405.03084
Autor:
Tonja, Atnafu Lambebo, Balouchzahi, Fazlourrahman, Butt, Sabur, Kolesnikova, Olga, Ceballos, Hector, Gelbukh, Alexander, Solorio, Thamar
The paper focuses on the marginalization of indigenous language communities in the face of rapid technological advancements. We highlight the cultural richness of these languages and the risk they face of being overlooked in the realm of Natural Lang
Externí odkaz:
http://arxiv.org/abs/2404.05365
Recent research in natural language processing (NLP) has achieved impressive performance in tasks such as machine translation (MT), news classification, and question-answering in high-resource languages. However, the performance of MT leaves much to
Externí odkaz:
http://arxiv.org/abs/2403.19365
Autor:
Tonja, Atnafu Lambebo, Azime, Israel Abebe, Belay, Tadesse Destaw, Yigezu, Mesay Gemeda, Mehamed, Moges Ahmed, Ayele, Abinew Ali, Jibril, Ebrahim Chekol, Woldeyohannis, Michael Melese, Kolesnikova, Olga, Slusallek, Philipp, Klakow, Dietrich, Xiong, Shengwu, Yimam, Seid Muhie
Large language models (LLMs) have gained popularity recently due to their outstanding performance in various downstream Natural Language Processing (NLP) tasks. However, low-resource languages are still lagging behind current state-of-the-art (SOTA)
Externí odkaz:
http://arxiv.org/abs/2403.13737
Autor:
Fedonnikov A.S., Kolesnikova A.S., Rozhkova Yu.Yu., Kirillova I.V., Bessonov L.V., Ulyanov V.Yu., Kossovich L.Yu.
Publikováno v:
Саратовский научно-медицинский журнал, Vol 14, Iss 3, Pp 434-437 (2018)
Aim: development of information exchange methodology between the main participants of health branch in providing of medical care for traumatology and orthopedic patients at the base of specialized registers design. Material and Methods. Analysis and
Externí odkaz:
https://doaj.org/article/323ec3c1a13d43e3a33399d2d245a4c6
Autor:
Rozhkov M.A., Kolesnikova A.L., Hussainova I., Kaliteevskii M.A., Orlova T.S., Smirnov Yu.Yu., Yasnikov I.S., Zhigilei L.V., Bougrov V.E., Romanov A.E.
Publikováno v:
Reviews on Advanced Materials Science, Vol 57, Iss 2, Pp 137-142 (2018)
Graphene crystals, containing arrays of disclination defects, are modeled and their energies are calculated using molecular dynamics (MD) simulation technique. Two cases are analyzed in details: (i) pseudo-graphenes, which contain the alternating sig
Externí odkaz:
https://doaj.org/article/f40c913c1e934117a0d89b420003b090
Autor:
Kolesnikova A.L., Gutkin M.Yu., Krasnitckii S.A., Smirnov A.M., Dorogov M.V., Serebryakova V.S., Romanov A.E., Aifantis E.C.
Publikováno v:
Reviews on Advanced Materials Science, Vol 57, Iss 2, Pp 246-256 (2018)
The elastic problem of a spherical core-shell particle with a truncated core is solved within the isotropic classical theory of elasticity. A transition to a Janus particle consisting of two unequal spherical segments with lattice mismatch is demonst
Externí odkaz:
https://doaj.org/article/e9d03bcda2ef488a914dc066224827f9