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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

Postal Subscription Code 80-970

2018 Impact Factor: 1.129

Front. Comput. Sci.    2022, Vol. 16 Issue (6) : 166336    https://doi.org/10.1007/s11704-021-0474-x
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Distant supervised relation extraction based on residual attention
Zhiyun ZHENG, Yun LIU, Dun LI(), Xingjin ZHANG
School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
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Corresponding Author(s): Dun LI   
Just Accepted Date: 11 June 2021   Issue Date: 12 January 2022
 Cite this article:   
Zhiyun ZHENG,Yun LIU,Dun LI, et al. Distant supervised relation extraction based on residual attention[J]. Front. Comput. Sci., 2022, 16(6): 166336.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-021-0474-x
https://academic.hep.com.cn/fcs/EN/Y2022/V16/I6/166336
Fig.1  Structure of RERAN
Fig.2  Residual unit structure
Fig.3  P-R experimental results
Model P&N/%
P@100/% P@200/% P@300/% Mean/%
CNN_ATT [6] 73.2 65.6 62.1 67.0
PCNN_ATT 84.1 73.6 68.4 75.4
ResCNN_9 81.1 74.1 69.1 74.8
BGRU+3ATT 82.6 77.7 72.5 77.6
GPCNNs 81.1 76.6 73.7 77.1
RERAN 86.1 78.1 75.4 79.8
Tab.1  P@N evaluation of performance
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