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pro vyhledávání: '"Wang, Gaosheng"'
Few-shot named entity recognition can identify new types of named entities based on a few labeled examples. Previous methods employing token-level or span-level metric learning suffer from the computational burden and a large number of negative sampl
Externí odkaz:
http://arxiv.org/abs/2404.06970
Publikováno v:
中国工程科学, Vol 26, Iss 4, Pp 259-270 (2024)
In the context of carbon peaking and carbon neutrality as well as the construction of a new energy system, the integrated development and intelligent regulation of fossil energy with new energy resources such as wind, solar, and geothermal energy has
Externí odkaz:
https://doaj.org/article/0517e416b8b34cfca623eef315443424
Named Entity Recognition (NER) on social media refers to discovering and classifying entities from unstructured free-form content, and it plays an important role for various applications such as intention understanding and user recommendation. With s
Externí odkaz:
http://arxiv.org/abs/2210.14163
Publikováno v:
In Petroleum Exploration and Development Online August 2024 51(4):1035-1048
Publikováno v:
In Computers & Security June 2024 141
Autor:
Li, Shuang, Wang, Gaosheng, Zhou, Mengmeng, Song, Xianzhi, Shi, Yu, Yi, Junlin, Zhao, Jialin, Zhou, Yifan
Publikováno v:
In Energy 1 May 2024 294
Publikováno v:
In Energy 15 April 2024 293
Publikováno v:
In Journal of Cleaner Production 1 January 2024 434
Publikováno v:
In Information Processing and Management January 2024 61(1)
Publikováno v:
In Energy 15 December 2023 285