Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Canguang Li"'
Publikováno v:
Day 2 Tue, March 14, 2023.
Stick-slip vibration has been a major problem in drilling operations in B basin, Chad, where rocks in basement formation are hard granite. Premature failure of drill bits and string has profoundly undermined the safe and economical drilling operation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e164204ea41f531ec5bf4fb74c97188f
https://doi.org/10.2118/214270-ms
https://doi.org/10.2118/214270-ms
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 29:2123-2136
Named entity recognition (NER) is a basic task in natural language processing. Traditionally, sequence labeling methods are applied to named entity recognition and achieve good performance. However, sequence labeling methods can not be straightly app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a49d7e58b7393cca321cf5dc492c3bbd
https://doi.org/10.1109/taslp.2021.3086978
https://doi.org/10.1109/taslp.2021.3086978
Autor:
Wenjian Hao, Yi Cai, Canguang Li, Bingshan Zhu, Haopeng Ren, Yang Yu, Lixi Wang, Mingying Zhang
Publikováno v:
AI Open. 2:175-185
Extracting entity and relation jointly is often complicated since the relational triplets may be overlapped. In this paper, we propose a novel unified joint extraction model that considers the significant information which is useful for relation extr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f8414a1091dcf40a30c00c790a08008
https://doi.org/10.1016/j.aiopen.2021.09.002
https://doi.org/10.1016/j.aiopen.2021.09.002
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:15823-15824
Traditional sequence tagging methods for named entity recognition (NER) face challenges when handling nested entities, where an entity is nested in another. Most previous methods for nested NER ignore the effect of entity boundary information or type
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b6ad3923716b50681bde9f1d81dbe62
https://doi.org/10.1609/aaai.v35i18.17908
https://doi.org/10.1609/aaai.v35i18.17908
Autor:
Bingshan Zhu, Yang Yu, Mingying Zhang, Haopeng Ren, Canguang Li, Wenjian Hao, Lixi Wang, Yi Cai
Publikováno v:
AI Open; 2021, p175-185, 11p
Publikováno v:
智能科学与技术学报, Vol 3, Pp 85-92 (2021)
As an active research direction in the field of neural engineering, brain-computer interface (BCI) has important research significance in biomedicine, neural rehabilitation, intelligent robot and other fields.The human-computer shared control technol
Externí odkaz:
https://doaj.org/article/0f15b4eff20444e4b9970b693b3d2b46