Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Yang, Dongqiang"'
Publikováno v:
Knowledge-Based Systems, Volume 252,2022
Current breakthroughs in natural language processing have benefited dramatically from neural language models, through which distributional semantics can leverage neural data representations to facilitate downstream applications. Since neural embeddin
Externí odkaz:
http://arxiv.org/abs/2210.00754
Publikováno v:
IADIS International Journal on WWW/Internet Vol. 20, No. 1, pp. 16-32 (2022)
Recent advances on the Vector Space Model have significantly improved some NLP applications such as neural machine translation and natural language generation. Although word co-occurrences in context have been widely used in counting-/predicting-base
Externí odkaz:
http://arxiv.org/abs/2209.15202
Autor:
Yang, Dongqiang, Yin, Yanqin
Publikováno v:
Natural Language Engineering, 1-29 (2021)
Modelling semantic similarity plays a fundamental role in lexical semantic applications. A natural way of calculating semantic similarity is to access handcrafted semantic networks, but similarity prediction can also be anticipated in a distributiona
Externí odkaz:
http://arxiv.org/abs/2209.15197
Publikováno v:
In Knowledge-Based Systems 25 November 2024 304
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part C
Autor:
Chen Fang, Yang Dongqiang, Ru Yuhua, Bai Yu, Pei Xueliang, Sun Jie, Cao Shan, Wang Weiguang, Gao Aishe
Publikováno v:
Open Medicine, Vol 18, Iss 1, Pp 557-62 (2023)
Recent studies revealed that endoplasmic reticulum (ER) stress played an emerging role of in valve calcification. Tanshinone IIA (TanIIA) has been a research hotspot in cardiovascular diseases. Previously we found that sodium TanIIA dampened the path
Externí odkaz:
https://doaj.org/article/5dd78390244e463a900df23abd882ec5
Publikováno v:
Jisuanji kexue yu tansuo, Vol 16, Iss 12, Pp 2832-2840 (2022)
To solve the contradiction between multiple wearable sensor features and the limited computing power and storage capacity of embedded devices, feature engineering is used to select the best features for predicting physical activity energy expenditure
Externí odkaz:
https://doaj.org/article/e4bf4787c5dc48efa6860e8fc78c5d69
Autor:
Yang, Dongqiang, Li, ShuJian, Duan, Xiaoxian, Ren, Junling, Liang, Shuang, Yakoumatos, Lan, Kang, Yi, Uriarte, Silvia M., Shang, Jia, Li, Wei, Wang, Huizhi *
Publikováno v:
In Molecular Immunology February 2020 118:153-164
Autor:
Ma, Li, Zeng, Yanli, Wei, Junfeng, Yang, Dongqiang, Ding, Gangqiang, Liu, Junping, Shang, Jia, Kang, Yi, Ji, Xinying
Publikováno v:
In Biomedicine & Pharmacotherapy November 2018 107:1728-1735
Akademický článek
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