[1] |
Rani M, Dhar A K,Vyas O P.Semi-automatic terminology ontology learning based on topic modeling[J].Engineering Applications of Artificial Intelligence,2017,63:108-125.
|
[2] |
Shi L,Setchi R.Ontology-based personalized retrieval in support of reminiscence[J].Knowledge-Based Systems,2013,45(3):47-61.
|
[3] |
Wimalasuriya D C,Dou D J.Ontology-based information extraction:An introduction and a survey of current approaches[J].Journal of Information Science,2009,36(3):306-323.
|
[4] |
Zhu Ze-de.Research on key technology in mining web bilingual corpora[D].Hefei:University of Science and Technology of China,2014.(in Chinese)
|
[5] |
Wei You, Liu Mao-fu,Hu Hui-jun.Biomedical event extraction based on deep contextual word representation and self-attention[J].Computer Engineering & Science,2020,42(9):1670-1679.(in Chinese)
|
[6] |
Li Gai,Li Lei,Zhang Jia-qiang.Social collaborative ranking recommendation algorithm by exploiting both explicit and implicit feedback[J].Journal of Computer Applications,2021,41(12):1-9.(in Chinese)
|
[7] |
Wang R, Liu W,McDonald C.Featureless domain-specific term extraction with minimal labelled data[C]∥Proc of the Australasian Language Technology Association Workshop,2016:103-112.
|
[8] |
Zhao Hong, Wang Fang. A deep learning model and self-training algorithm for theoretical terms extraction[J].Journal of the China Society for Scientific and Technical Information,2018,37(9):923-938.(in Chinese)
|
[9] |
Yuan Y,Gao J,Zhang Y.Supervised learning for robust term extraction[C]∥Proc of the International Conference on Asian Language Processing,2017:302-305.
|
[10] |
Ding Ze-yuan,Yang Zhi-hao,Luo Ling, et al.Chinese biomedical entity relation extraction system based on deep learning[J].Journal of Chinese Information Processing,2021,35(5):70-76.(in Chinese)
|
[11] |
Lopes L, Fernandes P,Vieira R.Estimating term domain relevance through term frequency,disjoint corpora frequency-tf-dcf[J].Knowledge-based Systems,2016,97:237-249.
|
[12] |
Mykowiecka A,Marciniak M,Rychlik P.Recognition of irrelevant phrases in automatically extracted lists of domain terms[J].International Journal of Theoretical and Applied Issues in Specialized Communication,2018,24(1):66-90.
|
[13] |
Xia Tian. Extracting keywords with modified TextRank model[J].Data Analysis and Knowledge Discovery,2017,1(2):28-34.(in Chinese)
|
[14] |
Fang Jun-wei,Cui Hao-ran,He Guo-xiu,et al.Keyword extraction of academic text with TextRank model based on prior knowledge[J].Information Science,2019,37(3):75-80.(in Chinese)
|
[15] |
Yan Qiang,Zhang Xiao-yan,Zhou Si-min.Extracting keywords based on sememe similarity[J].Data Analysis and Knowledge Discovery,2021,5(4):80-89.(in Chinese)
|
[16] |
Wang Ning-ning,Chen Jian-hui.Concepts extraction of depression drug based on domain correlation measure[J].Computer Engineering and Applications,2016,52(19):140-145.(in Chinese)
|
[17] |
Zhang Meng-su,Liu Chun-tian,Li Xi-jin, et al.Design of fuzzy comprehensive evaluation system for performance appraisal based on K-means clustering algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2021,51(5):1851-1856.(in Chinese)
|
[18] |
Quan T T,Hui S C,Cao T H.A fuzzy fca-based approach for citation-based document retrieval [C]∥Proc of IEEE Conference on Cybernetics and Intelligent Systems,2004:578-583.
|
[19] |
Bates M J.Toward an integrated model of information seeking and searching[J].New Review of Information Behavior Research,2002,3:1-15.
|
[20] |
Guo Zhi-peng, Zhao Yu, Zheng Ya-bin, et al. THUCTC:An efficient Chinese text classifier[EB/OL].[2016-01-25].http://thuctc.thunlp.org.(in Chinese)
|
[21] |
Luo Chang-yin,Chen Xue-bin,Ma Chun-di, et al.Improved federated average algorithm based on tomographic analysis[J].Computer Science,2021,48(8):32-40.(in Chinese)
|
[22] |
Zhao Zhan-fang,Liu Peng-peng,Li Xue-shan.Keywords extraction algorithm of railway literature based on improved TextRank[J].Journal of Beijing Jiaotong University,2021,45(2):80-86.(in Chinese)
|
[23] |
Meng D F, Liu N, Li M X,et al.An improved dynamic collaborative filtering algorithm based on LDA[J].IEEE Access,2021,9:122568-122577.
|
[24] |
Kim S,Park H,Lee J. Word2vec-based latent semantic analysis(W2V-LSA) for topic modeling:A study on blockchain technology trend analysis[J].Expert Systems with Applications,2020,152:113401.
|
[25] |
Du J, Vong C M, Chen C L P.Novel efficient RNN and LSTM-like architectures:Recurrent and gated broad learning systems and their applications for text classification[J].IEEE Transactions on Cybernetics,2021,51(3):1586-1597.
|
[26] |
Jiang H P,Jiao R, Wang Z Q,et al.Construction and analysis of emotion computing model based on LSTM[J].Complex,2021,2021:Article ID 8897105.
|
|
附中文参考文献:
|
[4] |
朱泽德.网络双语语料挖掘关键技术研究[D].合肥:中国科学技术大学,2014.
|
[5] |
魏优,刘茂福,胡慧君.基于深层语境词表示与自注意力的生物医学事件抽取[J].计算机工程与科学,2020,42(9):1670-1679.
|
[6] |
李改,李磊,张佳强.融合显/隐式反馈的社会化协同排序推荐算法[J].计算机应用,2021,41(12):1-9.
|
[8] |
赵洪,王芳.理论术语抽取的深度学习模型及自训练算法研究[J].情报学报,2018,37(9):923-938.
|
[10] |
丁泽源,杨志豪,罗凌,等.基于深度学习的中文生物医学实体关系抽取系统[J].中文信息学报,2021,35(5):70-76.
|
[13] |
夏天.词向量聚类加权TextRank的关键词抽取[J].数据分析与知识发现,2017,1(2):28-34.
|
[14] |
方俊伟,崔浩冉,贺国秀,等.基于先验知识TextRank的学术文本关键词抽取[J].情报科学,2019,37(3):75-80.
|
[15] |
闫强,张笑妍,周思敏.基于义原相似度的关键词抽取方法[J].数据分析与知识发现,2021,5(4):80-89.
|
[16] |
王宁宁,陈建辉.基于领域相关性度量的抑郁症药物概念抽取[J].计算机工程与应用,2016,52(19):140-145.
|
[17] |
张萌谡,刘春天,李希今,等.基于K-means聚类算法的绩效考核模糊综合评价系统设计[J].吉林大学学报(工学版),2021,51(5):1851-1856.
|
[20] |
郭志芃,赵宇,郑亚斌,等.THVCTC:一个高效的中文文本分类工具[EB/OL].[2016-01-25].http://thuctc.thunlp.org.
|
[21] |
罗长银,陈学斌,马春地,等.基于层析分析改进的联邦平均算法[J].计算机科学,2021,48(8):32-40.
|
[22] |
赵占芳,刘鹏鹏,李雪山.基于改进TextRank的铁路文献关键词抽取算法[J].北京交通大学学报,2021,45(2):80-86.
|