Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 416-420.doi: 10.11896/jsjkx.200200020
• Big Data & Data Science • Previous Articles Next Articles
DU Lin1, CAO Dong1, LIN Shu-yuan2, QU Yi-qian2, YE Hui1
CLC Number:
[1] ZHOU Y.Research on medical text analysis mining technology based on machine learning [D].Beijing:Beijing Jiaotong University,2019. [2] SUN C A,DING Y,TIAN G.Analysis of emotional tendency of neural network based on GLU-CNN and attention-bilstm [J].Shandong University of Science and Technology,2019,40(7):62-66. [3] YANG P,YANG Z H,LUO L,et al.Recognition of chemical drug named entity based on attention mechanism [J].Computer Research and Development,2008,55(7):1548-1556. [4] WANG Y,WANG M X,ZHANG S,et al.BERT based alerttext named entity recognition [J/OL].Computer application:1-7 [2019-11-21].https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2020&filename=JSJY202002040&v=p5eBltYjMg96L0PeNbfh3J3eRmFBqc7Bb8ovNkpxL0WtdeRGGLxEJhgL4xxvx4DQ. [5] YANG P,DONG W Y.Recognition method of Chinese namedentities based on BERT embedding [J/OL].Computer Engineering:1-7.[2019-11-21].https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2020&filename=JSJC202004006&v=fpDLQvPDFGf6wfMKb3vnBnPPBJfHHDXcSaF%25mmd2Bu59DcVlTutrMRBjr1z9Ri0PG2Gqa. [6] DEVLIN J,CHANG M W,LEE K,et al.BERT:Pre-training of DeepBidirectional Transformers for Language Understanding[J].CS.CL,2018:4171-4186. [7] JIANG Y.Research on Chinese medicine text mining for TCM prescription compatibility [D].University of Electronic Science and Technology of China,2019. [8] YAO L,JIN Z,MAO C S,et al.Traditional Chinese medicine clinical records classification with BERT and domain specific corpora[J].Journal of the American Medical Informatics Association:JAMIA,2019,26(12). [9] GUO X P.On constructing electronic medical records confor-ming to the characteristicsof traditional Chinese medicine [J].Journal of Traditional Chinese Medicine Management,2009,17(5):469-470. [10] BIN Y.Intelligent Judicial Research Based on BERT SentenceEmbedding and Multi-Level Attention CNNs[C]//International Informatization and Engineering Associations:Computer Science and Electronic Technology International Society.2019:7. [11] ULLAHA,AHMAD J,MUHAMMAD K,et al.Action Recognition in Video Sequences using Deep Bi-directional LSTM with CNN Features[J].IEEE Access,2017,PP(99):1-1. [12] HU T T,FENG Y Q,SHEN L J,et al.Selection of main features of LSTM speech emotion based on attention mechanism [J].Acoustic Technology,2019,38(4):414-421. |
[1] | ZHOU Fang-quan, CHENG Wei-qing. Sequence Recommendation Based on Global Enhanced Graph Neural Network [J]. Computer Science, 2022, 49(9): 55-63. |
[2] | DAI Yu, XU Lin-feng. Cross-image Text Reading Method Based on Text Line Matching [J]. Computer Science, 2022, 49(9): 139-145. |
[3] | ZHOU Le-yuan, ZHANG Jian-hua, YUAN Tian-tian, CHEN Sheng-yong. Sequence-to-Sequence Chinese Continuous Sign Language Recognition and Translation with Multi- layer Attention Mechanism Fusion [J]. Computer Science, 2022, 49(9): 155-161. |
[4] | XIONG Li-qin, CAO Lei, LAI Jun, CHEN Xi-liang. Overview of Multi-agent Deep Reinforcement Learning Based on Value Factorization [J]. Computer Science, 2022, 49(9): 172-182. |
[5] | RAO Zhi-shuang, JIA Zhen, ZHANG Fan, LI Tian-rui. Key-Value Relational Memory Networks for Question Answering over Knowledge Graph [J]. Computer Science, 2022, 49(9): 202-207. |
[6] | WU Zi-yi, LI Shao-mei, JIANG Meng-han, ZHANG Jian-peng. Ontology Alignment Method Based on Self-attention [J]. Computer Science, 2022, 49(9): 215-220. |
[7] | LI Rong-fan, ZHONG Ting, WU Jin, ZHOU Fan, KUANG Ping. Spatio-Temporal Attention-based Kriging for Land Deformation Data Interpolation [J]. Computer Science, 2022, 49(8): 33-39. |
[8] | WANG Ming, PENG Jian, HUANG Fei-hu. Multi-time Scale Spatial-Temporal Graph Neural Network for Traffic Flow Prediction [J]. Computer Science, 2022, 49(8): 40-48. |
[9] | SHI Dian-xi, ZHAO Chen-ran, ZHANG Yao-wen, YANG Shao-wu, ZHANG Yong-jun. Adaptive Reward Method for End-to-End Cooperation Based on Multi-agent Reinforcement Learning [J]. Computer Science, 2022, 49(8): 247-256. |
[10] | JIANG Meng-han, LI Shao-mei, ZHENG Hong-hao, ZHANG Jian-peng. Rumor Detection Model Based on Improved Position Embedding [J]. Computer Science, 2022, 49(8): 330-335. |
[11] | FANG Yi-qiu, ZHANG Zhen-kun, GE Jun-wei. Cross-domain Recommendation Algorithm Based on Self-attention Mechanism and Transfer Learning [J]. Computer Science, 2022, 49(8): 70-77. |
[12] | ZHU Cheng-zhang, HUANG Jia-er, XIAO Ya-long, WANG Han, ZOU Bei-ji. Deep Hash Retrieval Algorithm for Medical Images Based on Attention Mechanism [J]. Computer Science, 2022, 49(8): 113-119. |
[13] | WEI Kai-xuan, FU Ying. Re-parameterized Multi-scale Fusion Network for Efficient Extreme Low-light Raw Denoising [J]. Computer Science, 2022, 49(8): 120-126. |
[14] | LIU Dong-mei, XU Yang, WU Ze-bin, LIU Qian, SONG Bin, WEI Zhi-hui. Incremental Object Detection Method Based on Border Distance Measurement [J]. Computer Science, 2022, 49(8): 136-142. |
[15] | CHEN Kun-feng, PAN Zhi-song, WANG Jia-bao, SHI Lei, ZHANG Jin. Moderate Clothes-Changing Person Re-identification Based on Bionics of Binocular Summation [J]. Computer Science, 2022, 49(8): 165-171. |
|