[1] |
DING Jian-ping, LI Wei-jun, LIU Xue-yang, CHEN Xu.
A review of named entity recognition research
[J]. Computer Engineering & Science, 2024, 46(07): 1296-1310.
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[2] |
YU Tian-ci, GAO Shang.
A code summarization generation model fusing multi-structure data
[J]. Computer Engineering & Science, 2024, 46(04): 667-675.
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[3] |
JI Xu-rui, WEI De-jian, ZHANG Jun-zhong, ZHANG Shuai, CAO Hui.
Research progress on information extraction methods of Chinese electronic medical records
[J]. Computer Engineering & Science, 2024, 46(02): 325-337.
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[4] |
WANG Fei-fei, BEN Ke-rong, ZHANG Xian.
Research on robust speech recognition technology based on domain knowledge
[J]. Computer Engineering & Science, 2023, 45(12): 2155-2164.
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[5] |
ZHANG Qian-kun, HAN Hu, HAO Jun.
Aspect-level sentiment classification based on dual attention fusion knowledge
[J]. Computer Engineering & Science, 2023, 45(10): 1866-1873.
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[6] |
XU Lang, LI Dai-wei, ZHANG Hai-qing, TANG Dan, HE Lei, YU Xi.
Medical text classification based on neural network
[J]. Computer Engineering & Science, 2023, 45(06): 1116-1122.
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[7] |
ZHANG Ruo-yi, JIN Liu, MA Hui-fang, WANG Yi-ke, LI Qing-feng.
A knowledge graph recommendation model incorporating the influence effect of similar users
[J]. Computer Engineering & Science, 2023, 45(03): 520-527.
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[8] |
MA He, WANG Hai-rong, ZHOU Bei-jing, SUN Chong, XU Xi.
Overview of the entity alignment methods based representation learning
[J]. Computer Engineering & Science, 2023, 45(03): 554-564.
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[9] |
LIN Qing, TENG Fei, TIAN Bo, ZHAO Yue, ZHU Jin-ye, FENG Li.
An encrypted knowledge graph storage and retrieval scheme based on searchable encryption
[J]. Computer Engineering & Science, 2023, 45(01): 66-76.
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[10] |
ZOU Cheng-hui, LI Wei-jiang, .
A personalized recommendation model integrating knowledge graph and comment text
[J]. Computer Engineering & Science, 2023, 45(01): 181-190.
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[11] |
PEI Song-ying, CHEN Zhen-guo.
Research and application situation analysis of domestic blockchain technology based on bibliometrics
[J]. Computer Engineering & Science, 2021, 43(11): 1966-1978.
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[12] |
GU Jun-hua, SHE Shi-yao, FAN Shuai, ZHANG Su-qi.
Recommendation based on users’ long- and short-term preference and knowledge graph convolutional network
[J]. Computer Engineering & Science, 2021, 43(03): 511-517.
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[13] |
SHEN Dong-dong, WANG Hai-tao, JIANG Ying, CHEN Xing.
A sequence recommendation algorithm based on knowledge graph embedding and multiple neural networks
[J]. Computer Engineering & Science, 2020, 42(09): 1661-1669.
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[14] |
WU Xiao-chong, DUAN Yue-xing, ZHANG Yue-qin, YAN Xiong.
A Chinese entity linking model based on CNN and deep structured semantic model
[J]. Computer Engineering & Science, 2020, 42(08): 1514-1520.
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[15] |
CHEN Xin1,WANG Bin1,ZENG Fan-qing2.
Reviewing big data recommendation
methods of commodity collocation
[J]. Computer Engineering & Science, 2020, 42(01): 36-45.
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