HanLP论文引用

引用HanLP

感谢使用,欢迎在学术文献中引用HanLP:

@software{hanlp2,
  author = {Han He},
  title = {{HanLP: Han Language Processing}},
  year = {2020},
  url = {https://github.com/hankcs/HanLP},
}

引用了HanLP的论文 (375篇)

这是一份在2021年9月通过谷歌学术统计到的不完整列表,欢迎共同维护。

2021 (63篇)

  1. Qin, Jiaohua, Zhuo Zhou, Yun Tan, Xuyu Xiang, and Zhibin He. “A Big Data Text Coverless Information Hiding Based on Topic Distribution and TF-IDF.” International Journal of Digital Crime and Forensics (IJDCF) 13, no. 4 (2021): 40-56.
  2. Pan, Junjie, Lin Wu, Xiang Yin, Pengfei Wu, Chenchang Xu, and Zejun Ma. “A Chapter-Wise Understanding System for Text-To-Speech in Chinese Novels.” In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pp. 6069-6073. IEEE, 2021.
  3. Yuhong, L. I. U., and Y. I. N. Ming. “A Four-Step Building of Glossaries: Case Study of English Linguistic Glossary.” China Terminology 23, no. 2 (2021): 11.
  4. H Huang, M Zha. “A Generative Text Summarization Model Based on Document Structure Neural Network.” International Conference on Applied Intelligence and …, 2021
  5. Yu, He, and Liang Xiao. “A Medical Guidance Model Driven by Subjective and Objective Knowledge.” In 2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID) , pp. 161-168. IEEE, 2021.
  6. C Zhang, Y Cai, W Rao. “A Non-Autoregressivee Network for Chinese Text to Speech and Voice Cloning.” 2021 IEEE International Conference …, 2021
  7. Gao, Yu, Jing Wang, and Han Buxin. “A Questionnaire and Big Data-based Study on the Mixing up of Chinese Structural Particles.” In 2021 2nd International Conference on Education, Knowledge and Information Management (ICEKIM) , pp. 543-548. IEEE, 2021.
  8. Chen, Yuh-Shyan, Shin-Wei Chiang, and Meng-Luen Wu. “A few-shot transfer learning approach using text-label embedding with legal attributes for law article prediction.” Applied Intelligence (2021): 1-19.
  9. Chunhui, Wang, Jin Zhi, Zhao Haiyan, and Cui Muyuan. “An Approach for Improving the Requirements Quality of User Stories.” Journal of Computer Research and Development 58, no. 4 (2021): 731.
  10. G Chen, R Yao, G Chen, J Chen. “A smart urban management information public opinion analysis system.” International Journal of …, 2021
  11. Li, Boyang, Weisheng Xu, Zhiyu Xu, Jiaxin Li, and Peng Peng. “A two-domain coordinated sentence similarity scheme for question-answering robots regarding unpredictable outliers and non-orthogonal categories.” Applied Intelligence (2021): 1-17.
  12. S Bonthu, S Rama Sree. “Automated Short Answer Grading Using Deep Learning: A Survey.” International Cross-Domain …, 2021
  13. Gao, Zhao-Ming. “Automatically compiling bilingual legal glossaries based on Chinese–English parallel corpora.” In Terminology Translation in Chinese Contexts , pp. 164-179. Routledge, 2021.
  14. L Xing, L Jin, Y Jia, C Wu. “Citation Recommendation Based on Community Merging and Time Effect.” International Conference of Pioneering …, 2021
  15. Wang, Dapeng. “Construction of Knowledge Graph Corpus Under the Framework of Artificial Intelligence.” In Cyber Security Intelligence and Analytics: 2021 International Conference on Cyber Security Intelligence and Analytics (CSIA2021), Volume 2 , pp. 41-48. Springer International Publishing, 2021.
  16. Liu, Xuanjun, Zheyu Zhu, Tengyan Fu, Jiaxuan Chen, and Ying Jiang. “Corpus Annotation System Based on HanLP Chinese Word Segmentation.” In The 2nd International Conference on Computing and Data Science , pp. 1-17. 2021.
  17. Liu, Jianpeng, Luyao Zhang, and Xiaohui Bai. “Dependency network-based approach to the implicit structure and semantic diffusion modes of semantic prosody.” Corpus Linguistics and Linguistic Theory (2021).
  18. Wu, Chengke, Peng Wu, Jun Wang, Rui Jiang, Mengcheng Chen, and Xiangyu Wang. “Developing a hybrid approach to extract constraints related information for constraint management.” Automation in Construction 124 (2021): 103563.
  19. G Tan. “Development of new methods for sentiment and text analysis in social networks to predict user preferences.” NA, 2021
  20. T Zhang, Z Liao. “Dilated Convolutional Neural Network with Joint Training for Chinese Word Segmentation.” 2021 6th International Conference on Mathematics and …, 2021
  21. Guo, Yu. “Doing Natural Language Processing in A Natural Way: An NLP toolkit based on object-oriented knowledge base and multi-level grammar base.” arXiv preprint arXiv:2105.05227 (2021).
  22. Abu-Salih, Bilal. “Domain-specific knowledge graphs: A survey.” Journal of Network and Computer Applications 185 (2021): 103076.
  23. Chao, Min-Hua, Amy JC Trappey, and Chun-Ting Wu. “Emerging Technologies of Natural Language-Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics.” Complexity 2021 (2021).
  24. Chen, Wei, Xinmiao Chen, and Xiao Sun. “Emotional dialog generation via multiple classifiers based on a generative adversarial network.” Virtual Reality & Intelligent Hardware 3, no. 1 (2021): 18-32.
  25. Yang, Zhibin, Yang Bao, Yongqiang Yang, Zhiqiu Huang, Jean-Paul Bodeveix, Mamoun Filali, and Zonghua Gu. “Exploiting augmented intelligence in the modeling of safety-critical autonomous systems.” Formal Aspects of Computing (2021): 1-42.
  26. Li, Xinyu, Mengtao Lyu, Zuoxu Wang, Chun-Hsien Chen, and Pai Zheng. “Exploiting knowledge graphs in industrial products and services: A survey of key aspects, challenges, and future perspectives.” Computers in Industry 129 (2021): 103449.
  27. Hu, Guimin, Guangming Lu, and Yi Zhao. “FSS-GCN: A graph convolutional networks with fusion of semantic and structure for emotion cause analysis.” Knowledge-Based Systems 212 (2021): 106584.
  28. Bonnell, Jerry, and Mitsunori Ogihara. “Hoshi: A Japanese morphological adorner for TEI XML.” Digital Scholarship in the Humanities 36, no. 1 (2021): 32-42.
  29. Wang, Tianqi, Yin Hong, Quanyi Wang, Rongfeng Su, Manwa Lawrence Ng, Jun Xu, Lan Wang, and Nan Yan. “Identification of Mild Cognitive Impairment Among Chinese Based on Multiple Spoken Tasks.” Journal of Alzheimer’s Disease Preprint (2021): 1-20.
  30. Yan, Yiting, Zhenghong Xiao, Zhenyu Xuan, and Yangjia Ou. “Implicit emotional tendency recognition based on disconnected recurrent neural networks.” International Journal of Computational Science and Engineering 24, no. 1 (2021): 1-8.
  31. Zhang, Xi, and Philip S. Yu. “Improving the Stock Market Prediction with Social Media via Broad Learning.” In HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING , pp. 677-736. 2021.
  32. W Yu, X Huang, Q Yuan, M Yi, S An, X Li. “Information Security Field Event Detection Technology Based on SAtt-LSTM.” Security and …, 2021
  33. Ye, Wang, Chen Junwu, Xia Xin, and Jiang Bo. “Intelligent Requirements Elicitation and Modeling: A Literature Review.” Journal of Computer Research and Development 58, no. 4 (2021): 683.
  34. Xu, Haijing, Ruichun Hou, Ning Yang, and Baoqi Guo. “Kitchen Appliance Recommendation based on User Profile and Interest Evolution Network.” In 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) , vol. 5, pp. 2096-2100. IEEE, 2021.
  35. Bates, Susan. “Literature Listing.” World Patent Information 64 (2021): 102019.
  36. R Han. “Modernization Planner, Authoritarian Paternalist, and Rising Power: Evolving Government Positions in China’s Internet Securitization.” NA, 2021
  37. H Bin, W Nuo, H Xin. “Multi-expert Approval Opinion Integration of Government Information Project Based on Knowledge Fusion.” Data Analysis and Knowledge …, 2021
  38. Y Cheng, M Ma, X Li, Y Zhou. “Multi-label classification of fundus images based on graph convolutional network.” BMC Medical …, 2021
  39. D Cai, Z Huang, L Qian. “On the Utility of Recovering Dropped Words in Chinese Named Entity Recognition.” 2021 6th International Conference on Intelligent …, 2021
  40. Yang, Qinjuan, Haoran Xie, Gary Cheng, Fu Lee Wang, and Yanghui Rao. “Pronunciation-Enhanced Chinese Word Embedding.” Cognitive Computation 13, no. 3 (2021): 688-697.
  41. Sun, Yong, Min Ji, Fengxiang Jin, and Huimeng Wang. “Public Responses to Air Pollution in Shandong Province Using the Online Complaint Data.” ISPRS International Journal of Geo-Information 10, no. 3 (2021): 126.
  42. Zhang, Kong, and Gang Qian. “Research on Named Entity Recognition Technology for Chinese Titles.” In Journal of Physics: Conference Series , vol. 1732, no. 1, p. 012016. IOP Publishing, 2021.
  43. Cai, Fuqi, Changjing Wang, Qing Huang, Zhengkang Zuo, and Yunyan Liao. “Search for Compatible Source Code.” International Journal of Software Engineering and Knowledge Engineering 31, no. 03 (2021): 477-502.
  44. Askani, Lars, Stefan Schumacher, and René Fuchs. “Sequence and Gene Expression Analysis of Recently Identified NLP from Plasmopara viticola.” Microorganisms 9, no. 7 (2021): 1453.
  45. Li, Zeren. “Subsidies for Sale: Post-government Career Concerns, Revolving- Door Channels, and Public Resource Misallocation in China.Revolving-Door Channels, and Public Resource Misallocation in China (May 3, 2021) (2021).
  46. H Zheng, J Chen, Y Zhang, X Zhang, C Ge. “Survey of Adversarial Attack, Defense and Robustness Analysis for Natural Language Processing.” Journal of Computer …, 2021
  47. M Zhang, R Yang, W Chen, J Chen, J Xu. “Technical Theme Analysis of WeChat Graphic Based on Domain Science and Technology Information.” Artificial Intelligence in …, 2021
  48. Wu, Junchao, Ying Jiang, Xin Chen, Lingyu Guo, Xiaotong Wei, and Xiaoyan Yang. “" The Canton Canon" Digital Library Based on Knowledge Graph–Taking the Revolutionary Archives of Canton in the Republic of China as an Example.” In 2021 10th International Conference on Educational and Information Technology (ICEIT) , pp. 171-179. IEEE, 2021.
  49. Hou, Wen-jun, Qi-ying He, Tong Li, and Bing Bai. “The Method of Mining the Relationship Between the Use of Architectural Elements in Buildings and Cultural Connotation It Reflects: Case of Beijing’s Representative Buildings.” In International Conference on Human-Computer Interaction , pp. 74-87. Springer, Cham, 2021.
  50. M Dooley, O Nierstrasz, P Rani, N Stulova. “Tool Support for Commenting Conventions.” NA, 2021
  51. Shi, Yu. “Transformer-F: A Transformer network with effective methods for learning universal sentence representation.” arXiv preprint arXiv:2107.00653 (2021).
  52. Cao, Bin, Jiawei Wu, Sichao Wang, Honghao Gao, Jing Fan, Shuiguang Deng, Jianwei Yin, and Xuan Liu. “Unsupervised Derivation of Keyword Summary for Short Texts.” ACM Transactions on Internet Technology (TOIT) 21, no. 2 (2021): 1-23.
  53. Li, Qian, Yuanyuan Tang, Wei Xu, and Mingming Wang. “Variance does matter in affecting the box office: a multi-aspect investigation.” Electronic Commerce Research (2021): 1-21.
  54. Jin, Di, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, and Peter Szolovits. “What disease does this patient have? a large-scale open domain question answering dataset from medical exams.” Applied Sciences 11, no. 14 (2021): 6421.
  55. Z Huang, A Wu, Y Shen, G Cheng, Y Qu. “When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions.” arXiv preprint arXiv:2108.13875, 2021
  56. Han, Minglun, Linhao Dong, Shiyu Zhou, and Bo Xu. “cif-based collaborative decoding for end-to-end contextual speech recognition.” In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pp. 6528-6532. IEEE, 2021.
  57. 王春晖, 金芝, 赵海燕, and 崔牧原. “一种用户故事需求质量提升方法.” 计算机研究与发展 58, no. 4 (2021): 731.
  58. 李朋远, 于华, and 江成. “中文语境下基于事件关联挖掘的金融网络构建与分析.” (2021).
  59. 赵登鹏, 熊回香, 田丰收, and 李昕然. “基于序列比对算法的中文文本相似度计算研究.” 图书情报工作 65, no. 11 (2021): 101.
  60. 毛存礼, 梁昊远, 余正涛, 郭军军, 黄于欣, and 高盛祥. “基于神经自回归分布估计的涉案新闻主题模型构建方法.” 中文信息学报 35, no. 2 (2021): 89-98.
  61. 汪烨, 陈骏武, 夏鑫, and 姜波. “智能需求获取与建模研究综述.” 计算机研究与发展 58, no. 4 (2021): 683.
  62. 刘宇红, and 殷铭. “术语表研制的四个步骤——以英语语言学为例.” 中国科技术语 23, no. 2 (2021): 11.
  63. 郑海斌, 陈晋音, 章燕, 张旭鸿, 葛春鹏, 刘哲. “面向自然语言处理的对抗攻防与鲁棒性分析综述.” 计算机研究与 …, 2021

2020 (94篇)

  1. Gao, Lizheng, Gang Zhou, and Junyong Luo. “A BOW-Based Sentence Embedding Method for Chinese Event Identification.” In Journal of Physics: Conference Series , vol. 1486, no. 4, p. 042012. IOP Publishing, 2020.
  2. Wu, Qing, Qingsheng Li, JingJing Zhou, XiaoYa Long, Yunqing Guan, and HongPing Lin. “A Film and TV News Digest Generation method Based on HanLP.” In 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), pp. 1197-1204. IEEE, 2020.
  3. Zhang, Yuyao, Yuru Jiang, Yu Wu, and Jing Su. “A Research on the Generation Model and Evaluation Model of Chinese Wu-Qing Couplets.” In Workshop on Chinese Lexical Semantics , pp. 536-548. Springer, Cham, 2020.
  4. Mazodier, Pierric, Mathieu Mangeot, Valerie Bellynck, and Yoann Goudin. “Active Reading for Intercomprehension Between Sinogramic Languages.” In Journal of Physics: Conference Series , vol. 1454, no. 1, p. 012010. IOP Publishing, 2020.
  5. Liu, Yi, and Xiaobo Liu. “Application of Mathematics in Computer Field.” In The International Conference on Cyber Security Intelligence and Analytics , pp. 413-419. Springer, Cham, 2020.
  6. Liu, Chenguang, Yongli Yu, Xingxin Li, and Peng Wang. “Application of entity relation extraction method under CRF and syntax analysis tree in the construction of military equipment knowledge graph.” IEEE Access 8 (2020): 200581-200588.
  7. Huang, Hsien-Liang, Shi-Hao Hong, and Yun-Cheng Tsai. “Approaches to text mining for analyzing treatment plan of quit smoking with free-text medical records: A PRISMA-compliant meta-analysis.” Medicine 99, no. 29 (2020).
  8. Yin, Wei, and Liping Shen. “A short text classification approach with event detection and conceptual information.” In Proceedings of the 2020 5th International Conference on Machine Learning Technologies , pp. 129-135. 2020.
  9. Chenfei, Xu, Ye Haiying, and Bao Ping. “Automatic Recognition of Produce Entities from Local Chronicles with Deep Learning.” Data Analysis and Knowledge Discovery 4, no. 8 (2020): 86-97.
  10. Towey, Dave, Lixian Jin, Hua Zhu, Jiaye Zhu, Kangming Feng, Huili Geng, Jing Lu, Tianyi Yu, and Yu Wang. “CHOCSLAT: Chinese healthcare-oriented computerised speech & language assessment tools.” In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) , pp. 1460-1465. IEEE, 2020.
  11. 陈晓慧, 刘俊楠, 徐立, 李佳, 张伟, and 刘海砚. “COVID-19 病例活动知识图谱构建——以郑州市为例.” 武汉大学学报● 信息科学版 45, no. 6 (2020): 816-825.
  12. Ding, Yuning, Andrea Horbach, and Torsten Zesch. “Chinese Content Scoring: Open-Access Datasets and Features on Different Segmentation Levels.” In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing , pp. 347-357. 2020.
  13. Wan, Fucheng, Fangtao Yang, Tiantian Wu, Dongjiao Zhang, Lei Zhang, and Yicheng Wang. “Chinese shallow semantic parsing based on multilevel linguistic clues.” Journal of Computational Methods in Sciences and Engineering 20, no. 4 (2020): 1063-1072.
  14. Bao, Zuyi, Chen Li, and Rui Wang. “Chunk-based chinese spelling check with global optimization.” In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings , pp. 2031-2040. 2020.
  15. Xu, Yang, Yuru Jiang, Yu Wu, and Yuyao Zhang. “Classifying Wu-Qing Couplets and General Couplets with Structural and Semantic Features.” In Workshop on Chinese Lexical Semantics , pp. 562-575. Springer, Cham, 2020.
  16. Yang, Chuqiao, Haiyan Wang, Jingyan Sai, Peiwei Zhang, and Mengyao Yan. “Construction of knowledge graph of forest musk deer based on BiLSTM-CRF model and DPA method.” In IOP Conference Series: Earth and Environmental Science , vol. 615, no. 1, p. 012008. IOP Publishing, 2020.
  17. CHEN, Xiaohui, Junnan LIU, Li XU, Jia LI, Wei ZHANG, and Haiyan LIU. “Construction of the COVID-19 Epidemic Cases Activity Knowledge Graph: A Case Study of Zhengzhou City.” 武汉大学学报● 信息科学版 45, no. 6 (2020): 816-825.
  18. He, Huihua, Si He, and Yan Li. “Contemporary Chinese parents’ needs and questions of parenting for young children: a Web text-mining approach.” (2020).
  19. Wang, Yongjun, Jing Gao, and Junjie Chen. “Deep Learning Algorithm for Judicial Judgment Prediction Based on BERT.” In 2020 5th International Conference on Computing, Communication and Security (ICCCS) , pp. 1-6. IEEE, 2020.
  20. Huang, Shujun, Yuyan Wang, and Xiang Yu. “Design and Implementation of Oil and Gas Information on Intelligent Search Engine Based on Knowledge Graph.” In Journal of Physics: Conference Series , vol. 1621, no. 1, p. 012010. IOP Publishing, 2020.
  21. Huang, Jhih-Yuan, Wei-Po Lee, Chen-Chia Chen, and Bu-Wei Dong. “Developing emotion-aware human–robot dialogues for domain-specific and goal-oriented tasks.” Robotics 9, no. 2 (2020): 31.
  22. Li, Chengming, Li Liu, Zhaoxin Dai, and Xiaoli Liu. “Different Sourcing Point of Interest Matching Method Considering Multiple Constraints.” ISPRS International Journal of Geo-Information 9, no. 4 (2020): 214.
  23. Huang, Yan, Haili Sun, Ke Xu, Xiaoyang Yu, Tongyang Wang, Xinfang Zhang, and Songfeng Lu. “Discourse-Level Text Generation Method Based on Topical Constraint.” Beijing Da Xue Xue Bao 56, no. 1 (2020): 9-15.
  24. Zhu, Wenhao, Xin Jin, Shuang Liu, Zhiguo Lu, Wu Zhang, Ke Yan, and Baogang Wei. “Enhanced double-carrier word embedding via phonetics and writing.” ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) 19, no. 2 (2020): 1-18.
  25. Li, Hongzheng, and Heyan Huang. “Evaluating Low-Resource Machine Translation between Chinese and Vietnamese with Back-Translation.” arXiv preprint arXiv:2003.02197 (2020).
  26. Yang, Yuexin, and Gongchang Ren. “HanLP-based technology function matrix construction on Chinese process patents.” International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 11, no. 3 (2020): 48-64.
  27. Su, Zichun, and Jialin Jiang. “Hierarchical gated recurrent unit with semantic attention for event prediction.” Future Internet 12, no. 2 (2020): 39.
  28. Huang, Subin, Xiangfeng Luo, Jing Huang, Hao Wang, Shengwei Gu, and Yike Guo. “Improving taxonomic relation learning via incorporating relation descriptions into word embeddings.” Concurrency and Computation: Practice and Experience 32, no. 14 (2020): e5696.
  29. Chen, Hua, AiBin Guo, Wenlong Ni, and Yan Cheng. “Improving the representation of image descriptions for semantic image retrieval with RDF.” Journal of Visual Communication and Image Representation 73 (2020): 102934.
  30. Xue, Yafei. “Intelligent Question Answering System of Medical Knowledge Map Based on Deep Learning.” In International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy , pp. 75-80. Springer, Cham, 2020.
  31. Jin, Xianxian, Xinzhi Wang, Xiangfeng Luo, Subin Huang, and Shengwei Gu. “Inter-sentence and implicit causality extraction from Chinese corpus.” Advances in Knowledge Discovery and Data Mining 12084 (2020): 739.
  32. Sun, Kai, Dian Yu, Dong Yu, and Claire Cardie. “Investigating prior knowledge for challenging chinese machine reading comprehension.” Transactions of the Association for Computational Linguistics 8 (2020): 141-155.
  33. Liu, Zhi, Shiqi Liu, Cuishuang Zhang, Zhu Su, Tianhui Hu, and Sannyuya Liu. “Investigating the Relationship between Learners’ Cognitive Participation and Learning Outcome in Asynchronous Online Discussion Forums.” In CSEDU (2) , pp. 26-33. 2020.
  34. Yang, X., L. Wu, and G. Wang. “Iterated dilated convolutional neural networks for word segmentation.” Neural Network World 30, no. 5 (2020): 333.
  35. Xu, Huimin, Yunian Chen, Jian Sun, Xuezhi Cao, and Rui Xie. “Iterative Strategy for Named Entity Recognition with Imperfect Annotations.” In CCF International Conference on Natural Language Processing and Chinese Computing , pp. 512-523. Springer, Cham, 2020.
  36. Hou, Shengluan, and Ruqian Lu. “Knowledge-guided unsupervised rhetorical parsing for text summarization.” Information Systems 94 (2020): 101615.
  37. Shi, Lin, Mingyang Li, Mingzhe Xing, Yawen Wang, Qing Wang, Xinhua Peng, Weimin Liao, Guizhen Pi, and Haiqing Wang. “Learning to extract transaction function from requirements: an industrial case on financial software.” In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering , pp. 1444-1454. 2020.
  38. Zhang, Yiming, Baojun Liu, Chaoyi Lu, Zhou Li, Haixin Duan, Shuang Hao, Mingxuan Liu, Ying Liu, Dong Wang, and Qiang Li. “Lies in the Air: Characterizing Fake-base-station Spam Ecosystem in China.” In Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security , pp. 521-534. 2020.
  39. L Hui, H Jixia. “Multi-Dimensional Subject Knowledge Network Fusion Method Based on Graph Convolution Self-Encoding Model.” Library and Information Service, 2020
  40. Berggren, Erik, and Axel Ungewitter. “Negativa attityder och misslyckade Open Source-projekt: En attitydanalys av commit-meddelanden i digitala förvaringsplatser som prediktor för misslyckade Open Source-projekt.” (2020).
  41. Lu, Ruqian, and Shengluan Hou. “On semi-supervised multiple representation behavior learning.” Journal of Computational Science 46 (2020): 101111.
  42. 孙砾. “PPP 行政附带民事公益诉讼的现实困境与路径探索.” 科学. 经济. 社会 38, no. 1 (2020): 63-69.
  43. Wen, Wanting, Qiudan Li, Junfeng Li, Xu Zhang, and Daniel Zeng. “Predicting Online News Authorship by an Authorship Embeddings Space Method.” In 2020 5th IEEE International Conference on Big Data Analytics (ICBDA) , pp. 368-372. IEEE, 2020.
  44. Liu, Shanshi, Yuanzheng Chang, Jianwu Jiang, Haigang Ma, and Huaikang Zhou. “Predictive Validity of Interviewer Post-interview Notes on Candidates’ Job Outcomes: Evidence Using Text Data From a Leading Chinese IT Company.Frontiers in Psychology 11 (2020).
  45. S Ran, A Lu. “Propagation Prediction of Police Microblog Entries Based on Heterogeneous Information Network.” Library and Information Service, 2020
  46. Wang, Ying, Liwei Zheng, and Ning Li. “ROM: A Requirement Opinions Mining Method Preliminary Try Based on Software Review Data.” In Proceedings of the 2020 4th International Conference on Management Engineering, Software Engineering and Service Sciences , pp. 26-33. 2020.
  47. Yin, Chuan, Wanzeng Liu, Duoduo Yin, Xi Zhai, Kexin Liu, Changfeng Jing, and He Huang. “Rapid Extraction of Research Areas from Scientific and Technological Literature.” Sensors and Materials 32, no. 12 (2020): 4489-4504.
  48. Zhonglin, Tian, Wu Xu, Xie Xiaqing, Xu Jin, and Lu Yueming. “Real-time Analysis Model for Short Texts with Relationship Graph of Domain Semantics.” Data Analysis and Knowledge Discovery 4, no. 2/3 (2020): 239-248.
  49. Alzazah, Faten Subhi, and Xiaochun Cheng. “Recent Advances in Stock Market Prediction Using Text Mining: A Survey.” E-Business-Higher Education and Intelligence Applications (2020).
  50. Hu, Zhaohua. “Research and implementation of railway technical specification question answering system based on deep learning.” In 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC) , pp. 5-9. IEEE, 2020.
  51. G Tao, W Shi-qi, S Yi-Cheng. “Research on Online Review Based on LDA Subject Model.” International Journal of …, 2020
  52. Peng, Lin, and Guo-quan Lu. “Research on Query Term Expansion based on RankSVM and LDA Model.” In Journal of Physics: Conference Series , vol. 1684, no. 1, p. 012050. IOP Publishing, 2020.
  53. Zhang, Hui, Xiaojing Qin, and Huaiguo Zheng. “Research on contextual recommendation system of agricultural science and technology resource based on user portrait.” In Journal of Physics: Conference Series , vol. 1693, no. 1, p. 012186. IOP Publishing, 2020.
  54. Huaiying, Shang, Liu Yan, Angang Zheng, Zhang Qi, and Ren Min. “Research on multi-factor Identification model of acceptance content of Work order complaint.” In Journal of Physics: Conference Series , vol. 1651, no. 1, p. 012136. IOP Publishing, 2020.
  55. Li, Hongzheng, Jiu Sha, and Can Shi. “Revisiting Back-Translation for Low- Resource Machine Translation Between Chinese and Vietnamese.IEEE Access 8 (2020): 119931-119939.
  56. Yu, Jiale, Yongliang Shen, Xinyin Ma, Chenghao Jia, Chen Chen, and Weiming Lu. “SYNET: Synonym Expansion using Transitivity.” In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings , pp. 1961-1970. 2020.
  57. Kuai, Xi, Renzhong Guo, Zhijun Zhang, Biao He, Zhigang Zhao, and Han Guo. “Spatial context-based local toponym extraction and Chinese textual address segmentation from urban POI data.” ISPRS International Journal of Geo- Information 9, no. 3 (2020): 147.
  58. Jia, Yuxiang, Huayi Dou, Shuai Cao, and Hongying Zan. “Speaker Identification and Its Application to Social Network Construction for Chinese Novels.” International Journal of Asian Language Processing 30, no. 04 (2020): 2050018.
  59. Liu, Jiming, Cheng Sun, and Ye Yuan. “The BERT-BiLSTM-CRF Question Event Information Extraction Method.” In 2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT) , pp. 729-733. IEEE, 2020.
  60. Yang, Tengfei, Jibo Xie, Guoqing Li, Naixia Mou, Cuiju Chen, Jing Zhao, Zhan Liu, and Zhenyu Lin. “Traffic Impact Area Detection and Spatiotemporal Influence Assessment for Disaster Reduction Based on Social Media: A Case Study of the 2018 Beijing Rainstorm.” ISPRS International Journal of Geo- Information 9, no. 2 (2020): 136.
  61. Yang, Yuexin, and Gongchang Ren. “Web-based methodology for extracting technology words in Chinese process patents.” International Journal of Web Information Systems (2020).
  62. Левківський, Вадим Валерійович. “Веб-сервіс для інтелектуального опрацювання документів на основі NER.” Bachelor’s thesis, КПІ ім. Ігоря Сікорського, 2020.
  63. 王摇博, 代摇翔, 时摇聪, and 刘摇洋. “一种基于主动学习的中文新词识别算法.” Telecommunication Engineering 60, no. 11 (2020).
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  67. 郝然. “从体用关系看唐宋时期老学道论之转型.” 科学. 经济. 社会 38, no. 1 (2020): 26-32.
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  74. 马满福, 刘元喆, 李勇, 王霞, 贾海, 史彦斌, and 张小康. “基于 LCN 的医疗知识问答模型.” 西南大学学报 (自然科学版) 42, no. 10 (2020): 25-36.
  75. 马满福, 刘元喆, 李勇, 王霞, 贾海. “基于LCN 的医疗知识问答模型.” 西南大学学报(自然 …, 2020
  76. 武高博, 王黎明, 柴玉梅, and 刘箴. “基于层次模型和注意力机制的文本分类算法.” 中文信息学报 34, no. 11 (2020): 84-95.
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2019 (83篇)

  1. Zhang, Xianwei, Peng Wu, Jiuming Cai, and Kun Wang. “A Contrastive Study of Chinese Text Segmentation Tools in Marketing Notification Texts.” In Journal of Physics: Conference Series , vol. 1302, no. 2, p. 022010. IOP Publishing, 2019.
  2. Gong, Hechen, Fucheng You, and Shaomei Wang. “A Study of the Chinese spam Classification with Doc2vec and CNN.” In IOP Conference Series: Materials Science and Engineering , vol. 563, no. 4, p. 042026. IOP Publishing, 2019.
  3. Han, Peng, and Ning Zhou. “A framework for detecting key topics in social networks.” In Proceedings of the 2nd International Conference on Big Data Technologies , pp. 235-239. 2019.
  4. Zhang, Shun, Ying Sheng, Jiangfan Gao, Jianhui Chen, Jiajin Huang, and Shaofu Lin. “A multi-domain named entity recognition method based on part-of-speech attention mechanism.” In CCF Conference on Computer Supported Cooperative Work and Social Computing , pp. 631-644. Springer, Singapore, 2019.
  5. Guan, Xinxin, Yeli Li, Qingtao Zeng, and Chufeng Zhou. “An Automatic Text Summary Extraction Method Based on Improved TextRank and TF-IDF.” In IOP Conference Series: Materials Science and Engineering , vol. 563, no. 4, p. 042015. IOP Publishing, 2019.
  6. Sun, Jiaqian, Menghui Wang, Jiasheng Huang, Anqi Wang, and Linying Jiang. “Analysis of the Passion Criminal Tendencies Based on the Topic-Emotion Model.” In Journal of Physics: Conference Series , vol. 1237, no. 2, p. 022154. IOP Publishing, 2019.
  7. Gong, Tuanji, and Xuaxia Yao. “An attention-based deep model for automatic short answer score.” International Journal of Computer Science and Software Engineering 8, no. 6 (2019): 127-132.
  8. Ding, Ruixue, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, and Luo Si. “A neural multi-digraph model for Chinese NER with gazetteers.” In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pp. 1462-1467. 2019.
  9. Hu, Jiahui, An Fang, Wanqing Zhao, Chenliu Yang, and Huiling Ren. “Annotating Chinese E-Medical Record for Knowledge Discovery.” Data Analysis and Knowledge Discovery 3, no. 7 (2019): 123-132.
  10. Huang, Subin, Xiangfeng Luo, Jing Huang, Yike Guo, and Shengwei Gu. “An unsupervised approach for learning a Chinese IS-A taxonomy from an unstructured corpus.” Knowledge-Based Systems 182 (2019): 104861.
  11. Chai, Zi, Xinyu Xing, Xiaojun Wan, and Bo Huang. “Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums.” In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pp. 5032-5046. 2019.
  12. SH Lee. “A study of prediction of Live-stream subscriptions: the case of Twitch.” NA, 2019
  13. Yang, Yang, Yu-Chao Zhang, Jia Liu, Xi-Meng Liu, Feng Yuan, and Shang-Ping Zhong. “Chinese Multi-Keyword Fuzzy Rank Search over Encrypted Cloud Data Based on Locality-Sensitive Hashing.” Journal of Information Science & Engineering 35, no. 1 (2019).
  14. He, Zhonghe, Zhongcheng Zhou, Liang Gan, Jiuming Huang, and Yan Zeng. “Chinese entity attributes extraction based on bidirectional LSTM networks.” International Journal of Computational Science and Engineering 18, no. 1 (2019): 65-71.
  15. Chen, Dehua, Chuang Ma, and Yunying Wu. “Clinical knowledge graph embeddings with hierarchical structure for thyroid treatment recommendation.” In 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) , pp. 432-436. IEEE, 2019.
  16. Lei, Ming, Bin Wen, Jianhou Gan, and Jun Wang. “Clustering algorithm of ethnic cultural resources based on spark.” International Journal of Performability Engineering 15, no. 3 (2019): 756.
  17. Long, Zi, Lianzhi Tan, Shengping Zhou, Chaoyang He, and Xin Liu. “Collecting indicators of compromise from unstructured text of cybersecurity articles using neural-based sequence labelling.” In 2019 International Joint Conference on Neural Networks (IJCNN) , pp. 1-8. IEEE, 2019.
  18. Gong, Tuanji, and Xuanxia Yao. “Deep Exercise Recommendation Model.” International Journal of Modeling and Optimization 9, no. 1 (2019).
  19. Wang, Hui, Chengdong Zhou, and Leixiao Li. “Design and Application of a Text Clustering Algorithm Based on Parallelized K-Means Clustering.” Rev. d’Intelligence Artif. 33, no. 6 (2019): 453-460.
  20. Huimin, Zhao, Duan Li, and Liu Shukan. “Design and Implementation of Keyword Extraction Framework in Military Domain.” In 2019 Chinese Control And Decision Conference (CCDC) , pp. 4351-4356. IEEE, 2019.
  21. Ning, Yishuang, Chunxiao Xing, and Liang-Jie Zhang. “Domain Knowledge Enhanced Error Correction Service for Intelligent Speech Interaction.” In International Conference on AI and Mobile Services , pp. 179-187. Springer, Cham, 2019.
  22. He, Han, Lei Wu, Hua Yan, Zhimin Gao, Yi Feng, and George Townsend. “Effective neural solution for multi-criteria word segmentation.” In Smart Intelligent Computing and Applications , pp. 133-142. Springer, Singapore, 2019.
  23. Li, Yanzeng, Bowen Yu, Mengge Xue, and Tingwen Liu. “Enhancing pre-trained Chinese character representation with word-aligned attention.” arXiv preprint arXiv:1911.02821 (2019).
  24. Yu, Jiale, Weiming Lu, Wei Xu, and Zeyun Tang. “Entity synonym discovery via multiple attentions.” In Joint International Semantic Technology Conference , pp. 271-286. Springer, Cham, 2019.
  25. Yi, Lu, Rao Yuan, Sun Long, and Li Xue. “Expert Information Automatic Extraction for IOT Knowledge Base.” Procedia computer science 147 (2019): 288-294.
  26. Gao, Jiaming, Hui Ning, Huilin Sun, Ruifeng Liu, Zhongyuan Han, Leilei Kong, and Haoliang Qi. “FIRE2019@ AILA: Legal Retrieval Based on Information Retrieval Model.” In FIRE (Working Notes) , pp. 64-69. 2019.
  27. Li, Zhenhua, Hongbo Mei, Runze Wu, and Shuhua Wang. “Generating Knowledge Graph from Textual Technical Reports on Landslides in the Three Gorges Reservoir Region, China.” In AGU Fall Meeting Abstracts , vol. 2019, pp. IN22C-10. 2019.
  28. Xu, Hai-rui, Wei-cheng Zhang, Ming Li, and Fei-wei Qin. “Generating Quantitative Product Profile Using Char-Word CNNs.” Applied Mathematics-A Journal of Chinese Universities 34, no. 3 (2019): 356-378.
  29. Mangeot, Mathieu. “Génie lexico-sémantique multilingue contributif.” PhD diss., Université Savoie Mont Blanc, 2019.
  30. Yang, Yuting, Juan Cao, Mingyan Lu, Jintao Li, and Chia-Wen Lin. “How to Write High-quality News on Social Network? Predicting News Quality by Mining Writing Style.” arXiv preprint arXiv:1902.00750 (2019).
  31. Quan, Yong, Yichen Song, Lu Deng, Yan Jia, Bin Zhou, and Weihong Han. “Identify Influentials Based on User Behavior Across Different Topics.” In International Conference on Artificial Intelligence and Security , pp. 476-487. Springer, Cham, 2019.
  32. Guan, Xinxin, Yeli Li, and Hechen Gong. “Improved TF-IDF for We Media Article Keywords Extraction.” In Journal of Physics: Conference Series , vol. 1302, no. 3, p. 032003. IOP Publishing, 2019.
  33. Zhang, Siheng, Wensheng Zhang, and Jinghao Niu. “Improving short-text representation in convolutional networks by dependency parsing.” Knowledge and Information Systems 61, no. 1 (2019): 463-484.
  34. Wang, Huan, Weiming Lu, and Zeyun Tang. “Incorporating External Knowledge to Boost Machine Comprehension Based Question Answering.” In European Conference on Information Retrieval , pp. 819-827. Springer, Cham, 2019.
  35. Chao, Wenhan, Xin Jiang, Zhunchen Luo, Yakun Hu, and Wenjia Ma. “Interpretable charge prediction for criminal cases with dynamic rationale attention.” Journal of Artificial Intelligence Research 66 (2019): 743-764.
  36. You, Zhongxi, Weina Hua, and Xuelian Pan. “Matching Book Reviews and Essential Sentiment Lexicons with Chinese Word Segmenters.” Data Analysis and Knowledge Discovery 3, no. 7 (2019): 23-33.
  37. Tao, Wan, Qiang Zhang, Mengyao Zhang, and Yuewei Li. “Mining Pain Points from Hotel Online Comments based on Sentiment Analysis.” In 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) , pp. 1672-1677. IEEE, 2019.
  38. Zhao, Zhengwei, Xiaodong Wang, Xiaowei Xu, and Qing Wang. “Multi-Modal Question Answering System Driven by Domain Knowledge Graph.” In 2019 5th International Conference on Big Data Computing and Communications (BIGCOM) , pp. 43-47. IEEE, 2019.
  39. Bai, Liting, Lin Liu, Shengli Song, and Yueshen Xu. “NCR-KG: news community recommendation with knowledge graph.” CCF Transactions on Pervasive Computing and Interaction 1, no. 4 (2019): 250-259.
  40. Tuulonen, Hanna, Carl-Gustav Linden, Asta Bäck, Nicholas Diakopoulos, Mark Granroth-Wilding, Lauri Haapanen, Leo Leppänen et al. “News Automation: The rewards, risks and realities of’machine journlism’.” (2019).
  41. Lindén, Carl-Gustav, Hanna Tuulonen, Asta Bäck, Nicholas Diakopoulos, Mark Granroth-Wilding, Lauri Haapanen, Leo Leppänen et al. “News automation: The rewards, risks and realities of ‘machine journalism’.” (2019).
  42. Hu, Chaoju, and Xiaojie Yang. “Online Comment Text Analysis with Improved Feature Weight.” Academic Journal of Computing & Information Science 2, no. 1 (2019).
  43. Luo, Ruixuan, Jingjing Xu, Yi Zhang, Xuancheng Ren, and Xu Sun. “Pkuseg: A toolkit for multi-domain chinese word segmentation.” arXiv preprint arXiv:1906.11455 (2019).
  44. X Zuo, Z Dou, Z Huang, S Lu, J Wen. “Product Category Mining Associated with Weibo Hot Topics.” Journal of Computer Research …, 2019
  45. Zhang, Yulin, Chong Feng, and Hongzheng Li. “Quality Estimation with Transformer and RNN Architectures.” In China Conference on Machine Translation , pp. 69-76. Springer, Singapore, 2019.
  46. Wang, Kai, and Xi Chen. “Research on Assisted Generation Method of Emergency Management Structured Case for Natural Text.” In 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA) , pp. 399-402. IEEE, 2019.
  47. Gong, Yonggang, Yuying Li, Xiaoqin Lian, and Junying Fu. “Research on Automatic Proofreading Method of Sensitive Information in Content Security.” In IOP Conference Series: Materials Science and Engineering , vol. 490, no. 6, p. 062060. IOP Publishing, 2019.
  48. Fu, Hongguang, Jingzhong Zhang, Xiuqin Zhong, Mingkai Zha, and Li Liu. “Robot for mathematics college entrance examination.” In Electronic Proceedings of the 24th Asian Technology Conference in Mathematics, Mathematics and Technology, LLC. 2019.
  49. Yao, Jian, Xingfa Shen, Jianhui Qiu, and Ting Wang. “SeeIME: a Chinese mobile IME for Chinese learners based on hybrid Pinyin code.” In Proceedings of the ACM Turing Celebration Conference-China , pp. 1-5. 2019.
  50. Cheng, Juan, Jiaolong Fu, Yan Kang, Hua Zhu, and Weihui Dai. “Sentiment Analysis of Social Networks’ Comments to Predict Stock Return.” In International Conference on Human Centered Computing , pp. 67-74. Springer, Cham, 2019.
  51. Fedchyshyn, Andriy. “The Genesis of Arbitration Laws and International Commercial Arbitration.” Law Rev. Kyiv UL (2019): 390.
  52. Lin, Shaofu, Yuanyuan Zhao, and Zhisheng Huang. “Time recognition of Chinese electronic medical record of depression based on conditional random field.” In International Conference on Brain Informatics , pp. 149-158. Springer, Cham, 2019.
  53. Xu, Sheng, Peifeng Li, Fang Kong, Qiaoming Zhu, and Guodong Zhou. “Topic tensor network for implicit discourse relation recognition in chinese.” In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pp. 608-618. 2019.
  54. Lou, Wen, Jiao Chen, and Tim Gorichanaz. “Understanding formal scholarly communication in information science by exploring generational evolution of academic writing patterns.” Proceedings of the Association for Information Science and Technology 56, no. 1 (2019): 722-724.
  55. Chen, Liang, Liting Song, Yue Shao, Dewei Li, and Keyue Ding. “Using natural language processing to extract clinically useful information from Chinese electronic medical records.” International journal of medical informatics 124 (2019): 6-12.
  56. Jia, Ziyang. “Verbs Prediction and Metaphor Construction in Modern Chinese Poetry Enriched With Glyph Information.” PhD diss., Rutgers The State University of New Jersey, School of Graduate Studies, 2019.
  57. Du, Yueming, and Lijiao Yang. “What affects the difficulty of Chinese syntax?.” In 2019 International Conference on Asian Language Processing (IALP) , pp. 71-74. IEEE, 2019.
  58. 章登义, 胡思, and 徐爱萍. “一种基于双向 LSTM 的联合学习的中文分词方法.” 计算机应用研究 10 (2019).
  59. 贾一荻, and 刘璘. “中文非功能需求描述的识别与分类方法研究.” Journal of Software 10 (2019): 3115-3126.
  60. 侯丽微, 胡珀, and 曹雯琳. “主题关键词信息融合的中文生成式自动摘要研究.” 自动化学报 45, no. 3 (2019): 530-539.
  61. 王春晖, 金芝, 赵海燕, 刘璘, 张伟, and 崔牧原. “人机协作的用户故事场景提取与迭代演进.” 软件学报 10 (2019).
  62. 吴玉颖. “医药知识图谱的构建与应用研究.” Master’s thesis, 大连交通大学, 2019.
  63. 刘一然, and 骆力明. “基于 SVM 的学科试题自动分类研究.” 计算机应用与软件 1 (2019).
  64. 刘一然, 骆力明. “基于SVM 的学科试题自动分类研究.” 计算机应用与软件, 2019
  65. 梁娜, 姚长青, 王峥, 高影繁, and 李岩. “基于三重维度的企业风险信息抽取方法研究.” 情报学报 38, no. 12 (2019): 1241-1249.
  66. 吴林静, 劳传媛, 刘清堂, 黄景修, and 巴深. “基于依存句法的初等数学分层抽样应用题题意理解.” 计算机应用与软件 5 (2019).
  67. 高尚飞. “基于刷卡记录的消费者行为大数据挖掘算法研究与应用.” Master’s thesis, 青岛科技大学, 2019.
  68. 江俊, 黄骅, 任条娟, and 张登辉. “基于峰值密度聚类的电信业投诉热点话题检测方法.” 电信科学 35, no. 5 (2019): 97.
  69. 陈翀, 李楠, 梁冰, 王晨琳. “基于成果特征的学者学术专长识别方法.” 图书情报工作, 2019
  70. 曾浩, 詹恩奇, 郑建彬, and 汪阳. “基于扩展规则与统计特征的未登录词识别.” 计算机应用研究 9 (2019).
  71. 陈迪阳. “基于文本聚类的垂直搜索引擎系统设计与实现.” Master’s thesis, 北京工业大学, 2019.
  72. 马雨萌, 王昉, 黄金霞, 姜恩波, and 张翕宇. “基于文献知识抽取的专题知识库构建研究——以中药活血化瘀专题知识库为例.” (2019).
  73. 王思丽, 祝忠明, 刘巍, and 杨恒. “基于深度学习的领域本体概念自动获取方法研究.” (2019).
  74. 郭琴芳. “基于知识图谱的初中数学在线学习系统及应用.” Master’s thesis, 西安理工大学, 2019.
  75. 刘一然, and 骆力明. “基于知识图谱的学科单选题考点提取研究.” 计算机应用研究 6 (2019).
  76. 高林, and 高尚飞. “大数据挖掘算法在刷卡中的研究与应用.” 青岛科技大学学报 (自然科学版) 6 (2019).
  77. 左笑晨, 窦志成, 黄真, 卢淑祺, and 文继荣. “微博热门话题关联商品品类挖掘.” 计算机研究与发展 56, no. 9 (2019): 1927.
  78. 党佩. “电力安全事故管理与分析系统的研究与实现.” Master’s thesis, 华北电力大学 (北京), 2019.
  79. 彭潇. “课程及教学大纲的本体构建及其在语义搜索的应用.” Master’s thesis, 浙江工商大学, 2019.
  80. 荣国平, 白晓颖, and 岳涛. “面向 DevOps 的软件工程新技术专题前言.” 软件学报 10 (2019).
  81. 荣国平, 白晓颖, 岳涛. “面向DevOps 的软件工程新技术专题前言.” 软件学报, 2019
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  83. 王思丽, 祝忠明, 刘巍, and 杨恒. “领域本体学习语料的自动获取与预处理方法研究.” 图书馆学研究 20 (2019).

2018 (58篇)

  1. Che, Jin, Huan Chen, Jing Zeng, and Liang-Jie Zhang. “A Chinese text correction and intention identification method for speech interactive context.” In International Conference on Edge Computing , pp. 127-134. Springer, Cham, 2018.
  2. Li, Yang, Qingliang Miao, ChenXin Yin, Chao Huo, Wenxiang Mao, Changjian Hu, and Feiyu Xu. “A Joint Model of Entity Linking and Predicate Recognition for Knowledge Base Question Answering.” In CCKS Tasks , pp. 95-100. 2018.
  3. Wang, Xiaoli, Chuchu Gao, Jiangjiang Cao, Kunhui Lin, Wenyuan Du, and Zixiang Yang. “ALTAS: An Intelligent Text Analysis System Based on Knowledge Graphs.” In Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data , pp. 466-470. Springer, Cham, 2018.
  4. Wang, Hao, Xiaodong Zhang, and Houfeng Wang. “A Neural Question Generation System Based on Knowledge Base.” In CCF International Conference on Natural Language Processing and Chinese Computing , pp. 133-142. Springer, Cham, 2018.
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  7. Gao, Chengliang, Hua Xu, Xiaomin Sun, Junhui Deng, Xiaoli Bai, Xiaoming Zhang, and Kai Gao. “An Empirical Study of Emotion Analysis with Different Distributed Representation Methods for Chinese Microblogs.” In 2018 First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia) , pp. 1-6. IEEE, 2018.
  8. Li, Shen, Zhe Zhao, Renfen Hu, Wensi Li, Tao Liu, and Xiaoyong Du. “Analogical reasoning on chinese morphological and semantic relations.” arXiv preprint arXiv:1805.06504 (2018).
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  11. Shen, Ying, Lizhu Zhang, Jin Zhang, Min Yang, Buzhou Tang, Yaliang Li, and Kai Lei. “CBN: Constructing a clinical Bayesian network based on data from the electronic medical record.” Journal of biomedical informatics 88 (2018): 1-10.
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  14. Chen, Dehua, Yunying Wu, Jiajin Le, and Qiao Pan. “Context-Aware End-To-End Relation Extracting from Clinical Texts with Attention-based Bi-Tree-GRU.” In ILP Up-and-Coming/Short Papers , pp. 21-35. 2018.
  15. Luo, Ling, Nan Li, Shuaichi Li, Zhihao Yang, and Hongfei Lin. “DUTIR at the CCKS-2018 Task1: A Neural Network Ensemble Approach for Chinese Clinical Named Entity Recognition.” In CCKS Tasks , pp. 7-12. 2018.
  16. YAN, Duan-wu, Tie-jun LI, Xiong-fei YANG, and C. H. E. N. Kun. “Design and Implementation of Parallelized LDA Topic Model Based on MapReduce.” DEStech Transactions on Computer Science and Engineering CCNT (2018).
  17. Pan, Zejia, Ying Jiang, Tong Wang, Yudan Lin, Hongjun Li, Jiting Xu, and Xin Zhao. “Design and implementation of scientific research information recommendation system.” In 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA) , pp. 297-302. IEEE, 2018.
  18. Chen, Jizhi, and Junzhong Gu. “Developing educational ontology: a case study in physics.” In Proceedings of the 10th International Conference on Education Technology and Computers , pp. 201-206. 2018.
  19. Li, Jia, Minghui Liu, Xiaojun Li, Xuan Liu, and Jingfang Liu. “Developing embedded taxonomy and mining patients’ interests from web-based physician reviews: mixed-methods approach.Journal of medical Internet research 20, no. 8 (2018): e254.
  20. YUAN, Di, Yue-hong WANG, Hui YUAN, Yi-ying SHAO, Yu-qi FAN, Xiao-ting SHAO, Jing HU, Can WEI, and Chang-qing XU. “Effect of exogenous spermine on hypoxia- induced cardiomyocyte apoptosis in suckling rats and its mechanism.Chinese Journal of Applied Physiology 34, no. 3 (2018): 193.
  21. Xu, Sheng, Peifeng Li, Guodong Zhou, and Qiaoming Zhu. “Employing text matching network to recognise nuclearity in chinese discourse.” In Proceedings of the 27th International Conference on Computational Linguistics , pp. 525-535. 2018.
  22. Dong, Yixuan, Yemao Zhou, Chuanyi Li, Jidong Ge, Yali Han, Mengting He, Dekuan Liu, Xiaoyu Zhou, and Bin Luo. “Establish evidence chain model on chinese criminal judgment documents using text similarity measure.” In International Conference of Pioneering Computer Scientists, Engineers and Educators , pp. 27-40. Springer, Singapore, 2018.
  23. Prystay, T. “Formation and Development of Legislation-The Basis of Legal Status of Subjects of Foreign Economic Activity.” Law Rev. Kyiv UL (2018): 191.
  24. Shen, Ying, Yaliang Li, Yang Deng, Jin Zhang, Min Yang, Jinsong Chen, Shangchun Si, and Kai Lei. “Gastroenterology ontology construction using synonym identification and relation extraction.” IEEE Access 6 (2018): 52095-52104.
  25. Chen, Xu, Jie Zhang, Zheng Xu, and Jin Liu. “HIB-tree: An efficient index method for the big data analytics of large-scale human activity trajectories.” Future Generation Computer Systems 86 (2018): 1269-1278.
  26. Lin, Kunhui, Wenyuan Du, Xiaoli Wang, Meihong Wang, and Zixiang Yang. “How to enhance Chinese word segmentation using knowledge graphs.” In 2018 13th International Conference on Computer Science & Education (ICCSE), pp. 1-6. IEEE, 2018.
  27. Yu, Qing, and Rui Liu. “Identification of Spam Based on Dependency Syntax and Convolutional Neural Network.” In 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) , pp. 1-6. IEEE, 2018.
  28. Zhu, Wenhao, Xin Jin, Jianyue Ni, Baogang Wei, and Zhiguo Lu. “Improve word embedding using both writing and pronunciation.” PloS one 13, no. 12 (2018): e0208785.
  29. He, Han. “Industrial Strength Dependency Parsing System.” PhD diss., 2018.
  30. Hu, Yunfeng, Yueqi Han, and Yunzhi Zhang. “Information extraction and spatial distribution of research hot regions on rocky desertification in China.” Applied Sciences 8, no. 11 (2018): 2075.
  31. Wang, Yuming, Jun Huang, Yun Liu, Lai Tu, and Ling Liu. “Inter-Category Distribution Enhanced Feature Extraction for Efficient Text Classification.” In International Conference on Big Data , pp. 17-25. Springer, Cham, 2018.
  32. Ye, Hai, Xin Jiang, Zhunchen Luo, and Wenhan Chao. “Interpretable charge predictions for criminal cases: Learning to generate court views from fact descriptions.” arXiv preprint arXiv:1802.08504 (2018).
  33. Jiang, Xin, Hai Ye, Zhunchen Luo, Wenhan Chao, and Wenjia Ma. “Interpretable rationale augmented charge prediction system.” In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations , pp. 146-151. 2018.
  34. HUANG, Yangchen, J. I. A. Yan, G. A. N. Liang, X. U. Jing, Jiuming HUANG, and H. E. Zhonghe. “Multi-factor person entity relation extraction model based on distant supervision.” Journal on Communications 39, no. 7 (2018): 103.
  35. Zhao, Junlei, Bicheng Li, and Lei Guo. “Open domain event attribute extraction method.” DEStech Transactions on Computer Science and Engineering iciti (2018).
  36. Y Xing, Y Liu. “REVIEW OF SYNTACTIC ANALYSIS SOFTWARE AUTOMATIC GENERATION.” ICIC express letters. Part B, Applications: an …, 2018
  37. Gong, Yonggang, Junying Fu, Xiaoqin Lian, and Yuying Li. “Research and Implementation of Chinese Text Automatic Proofreading System.” In IOP Conference Series: Materials Science and Engineering , vol. 466, no. 1, p. 012090. IOP Publishing, 2018.
  38. Chen, Haibo, Jing Tang, Sheng Fang, and Mengyuan Li. “Research on the Architecture and Technologies of the “Internet+” Smart Site.” In 2018 12th International Conference on Software, Knowledge, Information Management & Applications (SKIMA), pp. 1-4. IEEE, 2018.
  39. Zhang, Xi, Siyu Qu, Jieyun Huang, Binxing Fang, and Philip Yu. “Stock market prediction via multi-source multiple instance learning.” IEEE Access 6 (2018): 50720-50728.
  40. Lv, Jinna, Bin Wu, Lili Zhou, and Han Wang. “Storyrolenet: Social network construction of role relationship in video.” IEEE Access 6 (2018): 25958-25969.
  41. Wu, Meng-Tse, Yi-Chung Lin, and Keh-Yih Su. “Supporting Evidence Retrieval for Answering Yes/No Questions.” 中文計算語言學期刊 23, no. 2 (2018): 47-65.
  42. Sun, Xiaojie, Menghao Du, Hua Shi, and Wenming Huang. “Text Sentiment Polarity Classification Method Based on Word Embedding.” In Proceedings of the 2018 2nd International Conference on Algorithms, Computing and Systems , pp. 99-104. 2018.
  43. Jiang, Yingdi, Yonglian Yu, Xiaoyu Wang, and Zhiying Liu. “The Law of Semantic Change of Opposite Compounds.” In 2018 International Conference on Asian Language Processing (IALP) , pp. 108-112. IEEE, 2018.
  44. Gong, Neng, Tongtong Shen, Tianshu Wang, Diandian Qi, Meng Li, Jia Wang, and Chi-Ho Li. “The Sogou spoken language understanding system for the NLPCC 2018 evaluation.” In CCF International Conference on Natural Language Processing and Chinese Computing , pp. 454-463. Springer, Cham, 2018.
  45. Yurlov, Sergey A. “The development of legal science with regard to researching issues relating to normative regulation of sport.” Vestnik Saint Petersburg UL (2018): 620.
  46. Xu, Jing, Liang Gan, Mian Cheng, and Quanyuan Wu. “Unsupervised medical entity recognition and linking in Chinese online medical text.” Journal of healthcare engineering 2018 (2018).
  47. Zhang, Manying, and Kim Gerdes. “Who’s the werewolf.” (2018).
  48. 蒋鸣珂, and 曾伟红. “企业互联网负面信息分析与去噪.” 科技与创新 3 (2018): 53-56.
  49. 朱凤山. “在线校园新闻主题分析模型的建立与应用.” 电子技术与软件工程 15 (2018): 146-148.
  50. 邬登峰, 白琳, 王涛, 李慧, and 许舒人. “基于多粒度特征和混合算法的文档推荐系统 ①.” (2018).
  51. 邬登峰, 白琳, 王涛, 李慧, 许舒人. “基于多粒度特征和混合算法的文档推荐系统①.” NA, 2018
  52. 杨昇至. “基于微信平台的医院就诊流程引导系统设计与实现.” Master’s thesis, 南京师范大学, 2018.
  53. 肖娜. “基于自然语言处理的能源电池领域的知识图谱构建.” Master’s thesis, 青岛理工大学, 2018.
  54. 黄杨琛, 贾焰, 甘亮, 徐菁, 黄九鸣, and 赫中翮. “基于远程监督的多因子人物关系抽取模型.” 通信学报 39, no. 7 (2018): 103-112.
  55. 高影繁, 苏娜, 张运良, and 韩红旗. “基于非线性规划理论的事件主题词过滤方法.” 情报学报 37, no. 1 (2018): 61-67.
  56. 袁迪, 王跃虹, 袁辉, 邵毅英, 范玉琪, 邵小婷, 扈敬, 魏璨, and 徐长庆. “外源性精胺对缺氧诱导乳鼠心肌细胞凋亡的影响及其机制.” 中国应用生理学杂志 34, no. 3 (2018): 193.
  57. 王兴建. “自然语言处理在军事舆情领域的应用研究.” Master’s thesis, 吉林大学, 2018.
  58. 谢刚, 吴高巍, 任俊宏, 张似衡, 牛景昊, and 张文生. “面向患者的智能医生框架研究.” 计算机科学与探索 12, no. 9 (2018): 1475-1486.

2017 (32篇)

  1. Li, Hui, Yanjun Liu, Xiaohong Jin, and Xiaoqing Dong. “A Study of Extraction Methods for Incident Subject Terms Based on Left-Right Branch and Between- Class Distribution Entropies.” In 2017 13th International Conference on Semantics, Knowledge and Grids (SKG) , pp. 176-181. IEEE, 2017.
  2. Huang, Dongchuan, and Jiali Wang. “An approach on Chinese microblog entity linking combining baidu encyclopaedia and word2vec.” Procedia Computer Science 111 (2017): 37-45.
  3. Li, Jung-Bin, and Li-Bing Yang. “A rule-based Chinese sentiment mining system with self-expanding dictionary-taking TripAdvisor as an example.” In 2017 IEEE 14th International Conference on e-Business Engineering (ICEBE) , pp. 238-242. IEEE, 2017.
  4. Wu, Jinhang, Xiao Hu, Rongsheng Zhao, Feiliang Ren, and Minghan Hu. “Clinical named entity recognition via bi-directional LSTM-CRF model.” In CEUR Workshop Proc , vol. 1976, pp. 31-6. 2017.
  5. Wu, Pin, Juanjuan Luo, Yonghua Zhu, and Wenjie Zhang. “Construction and Verification of Knowledge Base of Political & Economy News based on Mixed Algorithm of Subgraph Feature Extraction and RESCAL.” International Journal of Performability Engineering 13, no. 8 (2017): 1268.
  6. Hu, Yue, Shu-Qiang Yang, and Bin Zhou. “Enhanced Microblog Network Representation with User-Generated Content.” In ITM Web of Conferences , vol. 12, p. 03006. EDP Sciences, 2017.
  7. Wu, Chunzi, and Bai Wang. “Extracting topics based on Word2Vec and improved Jaccard similarity coefficient.” In 2017 IEEE Second International Conference on Data Science in Cyberspace (DSC) , pp. 389-397. IEEE, 2017.
  8. Yunfeng, Hu, Han Yueqi, Zhang Yunzhi, and Zhuang Yuan. “Extraction and dynamic spatial-temporal changes of grassland deterioration research hot regions in China.” Journal of Resources and Ecology 8, no. 4 (2017): 352-358.
  9. Kuzmin, Igor A. “Formal Legal Method as a Part of Comparative Studies Methodology.” Law: J. Higher Sch. Econ. (2017): 18.
  10. Zhu, Yueqin, Wenwen Zhou, Yang Xu, Ji Liu, and Yongjie Tan. “Intelligent learning for knowledge graph towards geological data.” Scientific Programming 2017 (2017).
  11. Luo, Bingfeng, Yansong Feng, Jianbo Xu, Xiang Zhang, and Dongyan Zhao. “Learning to predict charges for criminal cases with legal basis.” arXiv preprint arXiv:1707.09168 (2017).
  12. Xia, Guoqing, Yao Shen, and Qiang Lin. “Lexicon-based semi-CRF for Chinese clinical text word segmentation.” In 2017 international conference on progress in informatics and computing (PIC) , pp. 45-50. IEEE, 2017.
  13. Cui, Chenxi, and Wenji Mao. “Recognize user intents in online interactions from massive social media data.” In 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA) , pp. 11-15. IEEE, 2017.
  14. Li, Zhenzhen, Qun Zhang, Yang Liu, Dawei Feng, and Zhen Huang. “Recurrent neural networks with specialized word embedding for chinese clinical named entity recognition.” In CEUR Workshop Proceedings , vol. 1976, pp. 55-60. 2017.
  15. Niu, Jianwei, Mingsheng Sun, and Shasha Mo. “Sentiment Analysis of Chinese Words Using Word Embedding and Sentiment Morpheme Matching.” In International Conference on Collaborative Computing: Networking, Applications and Worksharing , pp. 3-12. Springer, Cham, 2017.
  16. An, Yanxin, Xinhuai Tang, and Bin Xie. “Sentiment analysis for short Chinese text based on character-level methods.” In 2017 9th International Conference on Knowledge and Smart Technology (KST) , pp. 78-82. IEEE, 2017.
  17. Zhang, Qiang, Chenwei Liu, Shangru Zhong, and Kai Lei. “Spam comments detection with self-extensible dictionary and text-based features.” In 2017 IEEE Symposium on Computers and Communications (ISCC) , pp. 1225-1230. IEEE, 2017.
  18. Wu, Xiaoyang, and Bin Wu. “The CRFs-based Chinese open entity relation extraction.” In 2017 IEEE Second International Conference on Data Science in Cyberspace (DSC) , pp. 405-411. IEEE, 2017.
  19. Xu, Yuqian, Tom Tan, and Serguei Netessine. “The Impact of Workload on Operational Risk: Evidence from a Commercial Bank.” SMU Cox School of Business Research Paper 18-13 (2017).
  20. 孙健, 高大启, 阮彤, 殷亦超, 高炬, and 王祺. “中文电子病历中的时间关系识别.” 计算机应用 (2017): 0-0.
  21. 张磊, 程朋根, 郭建雄, and 殷巧珍. “产程实时汇报系统的设计与实现.” 计算机应用与软件 34, no. 7 (2017): 28-31.
  22. 刘泽锦, and 王洁. “同主题词短文本分类算法中 BTM 的应用与改进 ①.” (2017).
  23. 刘泽锦, 王洁. “同主题词短文本分类算法中BTM 的应用与改进①.” NA, 2017
  24. 肖娜萍. “基于 QFD 的基本公卫信息系统质量改进研究.” Master’s thesis, 华南理工大学, 2017.
  25. 肖娜萍. “基于QFD 的基本公卫信息系统质量改进研究.” NA, 2017
  26. 李满荣, 赵宏安, 董文静, 耿国华, and 周明全. “基于优先权过滤的自动摘要抽取算法.” 西北大学学报自然科学版 47, no. 3 (2017): 349-354.
  27. 李俊卿. “基于分布式的社交网络信息推荐.” Master’s thesis, 北京邮电大学, 2017.
  28. 吕丹, 龙华, 赵继东, 邵玉斌, and 杜庆治. “基于地图地理信息点的数据融合算法的改进.” 西北大学学报自然科学版 47, no. 5 (2017): 687-692.
  29. 朱金山. “基于敏感词分析的高校舆情监控系统设计与实现.” 集宁师范学院学报 39, no. 6 (2017): 37-41.
  30. 黄念娥, 黄河, and 王儒敬. “本体与条件随机场结合的涉农商品名称抽取与类别标注.” 计算机应用 37, no. 1 (2017): 233-238.
  31. 黄蓓静, 贺睴, and 杨静. “远程监督人物关系抽取中的去噪研究.” 计算机应用与软件 34, no. 7 (2017): 11-18.
  32. 胡鑫. “面向社会面动态分析的命名实体识别与可视化方法研究.” Master’s thesis, 国防科学技术大学, 2017.

2016 (22篇)

  1. Dong, Zhenjiang, Hong Chen, Jingqiang Chen, Huakang Li, and Tao Li. “A demonstration of qa system based on knowledge base.” In Asia-Pacific Web Conference , pp. 579-582. Springer, Cham, 2016.
  2. Xu, Jing, Liang Gan, Bin Zhou, and Quanyuan Wu. “An Unsupervised Method for Entity Mentions Extraction in Chinese Text.” In Asia-Pacific Services Computing Conference , pp. 320-328. Springer, Cham, 2016.
  3. Xu, Jing, Liang Gan, Bin Zhou, and Quanyuan Wu. “An unsupervised method for linking entity mentions in Chinese text.” In Asia-Pacific Services Computing Conference , pp. 183-195. Springer, Cham, 2016.
  4. Jiang, Lan, Hengyang Lu, Ming Xu, and Chongjun Wang. “Biterm pseudo document topic model for short text.” In 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI) , pp. 865-872. IEEE, 2016.
  5. Chen, Huan, Xin-Nan Li, Liang-Jie Zhang, Yi-Xuan Huang, and Xiao-Sheng Cai. “Cloud-Based Core Text Processing Services for Sentiment Analysis.” In 2016 IEEE International Congress on Big Data (BigData Congress) , pp. 236-243. IEEE, 2016.
  6. Li, Peijia, Yonghong Yan, Chaomin Wang, Zhijie Ren, Pengyu Cong, Huixin Wang, and Junlan Feng. “Customer voice sensor: A comprehensive opinion mining system for call center conversation.” In 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) , pp. 324-329. IEEE, 2016.
  7. Zhou, Yadong, Hong Xu, and Lei Lei. “Event detection based on interactive communication streams in social network.” In Proceedings of the 9th EAI International Conference on Mobile Multimedia Communications , pp. 54-57. 2016.
  8. Wu, Chunzi, Bin Wu, and Bai Wang. “Event evolution model based on random walk model with hot topic extraction.” In International Conference on Advanced Data Mining and Applications , pp. 591-603. Springer, Cham, 2016.
  9. Fu, Xiaolei, Ming Gao, Qiang Liu, and Hongmei Liu. “Group detection for specific topic on micro-blog.” In 2016 13th Web Information Systems and Applications Conference (WISA) , pp. 134-137. IEEE, 2016.
  10. Lai, Yuxuan, Yang Lin, Jiahao Chen, Yansong Feng, and Dongyan Zhao. “Open domain question answering system based on knowledge base.” In Natural Language Understanding and Intelligent Applications , pp. 722-733. Springer, Cham, 2016.
  11. Shi, Si, Dawei Jin, and Goh Tiong-Thye. “Real-time public mood tracking of chinese microblog streams with complex event processing.” Ieee Access 5 (2016): 421-431.
  12. ZHANG, Shi-jiao, S. U. N. Yuan, and Z. H. U. Zhen. “Removing Duplicates Method of English Tests.” DEStech Transactions on Computer Science and Engineering aics (2016).
  13. Chen, W. A. N. G., J. I. A. Yan, Jiu-ming HUANG, and Z. H. O. U. Bin. “Retweet Prediction in Sina Weibo Based on Entity-Level Sentiment Analysis.” DEStech Transactions on Computer Science and Engineering aita (2016).
  14. Ma, Lu, Dan Zhang, Jian-wu Yang, and Xiong Luo. “Sentiment orientation analysis of short text based on background and domain sentiment lexicon expansion.” In 2016 5th International Conference on Computer Science and Network Technology (ICCSNT) , pp. 234-239. IEEE, 2016.
  15. Yu, Chen, and Li Shuang. “The clinical application of artificial liver support system.” Clinical Focus 31, no. 7 (2016): 717.
  16. Peixia, Wang, Yu Hai, Chen Li, and Wang Yongji. “Using intelligent system to extract search terms for sci-tech novelty retrieval.” Data Analysis and Knowledge Discovery 32, no. 11 (2016): 82-93.
  17. 刘磊. “基于多层条件随机场的短语音语义识别方法.” Master’s thesis, 中南民族大学, 2016.
  18. 孙丽萍, 过弋, 唐文武, and 徐永斌. “基于构成模式和条件随机场的企业简称预测.” 计算机应用 36, no. 2 (2016): 449-454.
  19. 李学明, 张朝阳, and 佘维军. “基于用户回复内容观点支持度的评论有用性计算.” 计算机应用 36, no. 10 (2016): 2767-2771.
  20. 黄念娥, 黄河, and 王儒敬. “本体与 CRF 结合的涉农商品名称抽取与类别标注.” 计算机应用 (2016): 0-0.
  21. 黄念娥, 黄河, 王儒敬. “本体与CRF 结合的涉农商品名称抽取与类别标注.” 计算机应用, 2016
  22. 王培霞, 余海, 陈力, and 王永吉. “科技查新中检索词智能抽取系统的设计与实现.” 现代图书情报技术 11 (2016): 82-93.

Unknown Year (23篇)

  1. Liu, Ziyu, Ying Li, Lixia Zhao, and Pengtao Guo. “Construction of intelligent query system for metro electromechanical equipment faults based on the knowledge graph.” Journal of Intelligent & Fuzzy Systems Preprint: 1-18.
  2. Zhong, Junmei, Xiu Yi, Jian Wang, Zhuquan Shao, Panpan Wang, and Sen Lin. “DEEP LEARNING BASED DATA GOVERNANCE FOR CHINESE ELECTRONIC HEALTH RECORD ANALYSIS.”
  3. Lian, Sixia, Shangyu Sun, Zerui He, Jiali Xu, and Qian Yin. “Design and Implementation of Python Learning Platform.” (2019).
  4. Shen, Ying, Jiyue Huang, Jin Zhang, Min Yang, and Kai Lei. “Discovering Medical Entity Relations from Texts using Dependency Information.” Natural Language Engineering 1, no. 1: 1-21.
  5. J Li, Z Zhang, M Chen, J Ma, S Wang, J Xiao. “Improving Polyphone Disambiguation for Mandarin Chinese by Combining Mix-Pooling Strategy and Window-Based Attention}}.” NA, Unknown Year
  6. van Walen, Terry. “Method Call Argument Completion using Deep Neural Regression.”
  7. Luo, Ling, Nan Li, Shuaichi Li, Zhihao Yang, and Hongfei Lin. “Neural Network Ensemble Approach for the Chinese Clinical Named Entity Recogni-tion.”
  8. Yuyan, Xing. “Research on key technologies of automatic generation of syntactic parser.”
  9. Mazodier, Pierric, Yoann Goudin, Mathieu Mangeot, and Valérie Bellynck. “Sinogramic Languages.”
  10. Bhuvaneshwari, Chinnasamy, and Raman Beena. “TFCMA-DRL: Tolerant Flexible Coordinated Multi-Agent Deep Reinforcement Learning for Prediction of Future Stock Price Trends from Multi-Source Data.”
  11. Howard, L. “THE BRITISH JOURNAL I 0. F PSYCHIATRY JUNE i998 VOL. 172.”
  12. JIANG, Jun, Hua HUANG, R. E. N. Tiaojuan, and Denghui ZHANG. “Telecom complaint hot topic detection method based on density peaks clustering.” Telecommunications Science 35, no. 5: 97.
  13. WANG, YUXUAN. “The Classification Of Spam Based On Naive Bayesian Model.”
  14. Vanagas, Giedrius, and Agusti Solanas. “eHealth Solutions for the Integrated Healthcare.”
  15. 孙弋, and 李直. “使用贝叶斯分类的高考学业规划智能问答系统 ①.”
  16. 孙弋, 李直. “使用贝叶斯分类的高考学业规划智能问答系统①.” NA, Unknown Year
  17. 相颖, 冯钧, 夏珮珮, and 陆佳民. “基于 Bootstrapping 的水利空间关系词提取.” 计算机科学 47, no. 12: 131-138.
  18. 相颖, 冯钧, 夏珮珮, 陆佳民. “基于Bootstrapping 的水利空间关系词提取.” 计算机科学, Unknown Year
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