HanLP论文引用

引用HanLP

感谢使用,欢迎在学术文献中引用HanLP:

@inproceedings{he-choi-2021-stem,
    title = "The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders",
    author = "He, Han and Choi, Jinho D.",
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.emnlp-main.451",
    pages = "5555--5577",
    abstract = "Multi-task learning with transformer encoders (MTL) has emerged as a powerful technique to improve performance on closely-related tasks for both accuracy and efficiency while a question still remains whether or not it would perform as well on tasks that are distinct in nature. We first present MTL results on five NLP tasks, POS, NER, DEP, CON, and SRL, and depict its deficiency over single-task learning. We then conduct an extensive pruning analysis to show that a certain set of attention heads get claimed by most tasks during MTL, who interfere with one another to fine-tune those heads for their own objectives. Based on this finding, we propose the Stem Cell Hypothesis to reveal the existence of attention heads naturally talented for many tasks that cannot be jointly trained to create adequate embeddings for all of those tasks. Finally, we design novel parameter-free probes to justify our hypothesis and demonstrate how attention heads are transformed across the five tasks during MTL through label analysis.",
}

引用了HanLP的论文 (550篇)

这是一份在2022年9月通过谷歌学术统计到的不完整列表,欢迎共同维护。

2022 (41篇)

  1. Y Wan, Y Nie. “A Case Knowledge Extraction Method for Chinese Legal Texts.” Advances in Intelligent Data Analysis and Applications, 2022
  2. P Cheng, W Xiao, P Ning, L Li, Z Rao, L Yang. “ARTCDP: An automated data platform for monitoring emerging patterns concerning road traffic crashes in China.” Accident Analysis & …, 2022
  3. Y Ding, J Ma, X Luo. “Applications of natural language processing in construction.” Automation in Construction, 2022
  4. D Jiang, J Zhang. “Association Analysis of Case Data Oriented to Legal Texts.” Advances in Intelligent Data Analysis and Applications, 2022
  5. S Liu, S Liu, Z Liu, X Peng, Z Yang. “Automated detection of emotional and cognitive engagement in MOOC discussions to predict learning achievement.” Computers & Education, 2022
  6. A Kulkarni, N Sabetpour, A Markin. “CPTAM: Constituency Parse Tree Aggregation Method.” arXiv preprint arXiv …, 2022
  7. G Zhu, Z Sun, S Zhang, S Wei, KC Li. “Causality Extraction Model Based on Two-stage GCN.” NA, 2022
  8. K Ma, YJ Tan, Z Xie, Q Qiu, S Chen. “Chinese toponym recognition with variant neural structures from social media messages based on BERT methods.” Journal of Geographical Systems, 2022
  9. Z Cheng, L Wu, T Lukasiewicz, E Sallinger. “Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports.” EDBT/ICDT …, 2022
  10. Y Ruan. “Design of Intelligent Recognition English Translation Model Based on Deep Learning.” Journal of Mathematics, 2022
  11. D LI, Y TU, X ZHOU, Y ZHANG. “End-to-End Chinese Entity Recognition Based on BERT-BiLSTM-ATT-CRF.” ZTE Communications, 2022
  12. L Gong, Y Li, J Guo, Z Yu, S Gao. “Enhancing low-resource neural machine translation with syntax-graph guided self-attention.” Knowledge-Based Systems, 2022
  13. L Liao, C Yang. “Enterprise risk information extraction based on BERT.” 2022 7th International Conference on …, 2022
  14. L Jin, Z Ding, H Zhou. “Evaluation of Chinese Natural Language Processing System Based on Metamorphic Testing.” Mathematics, 2022
  15. S Yu, S He, Z Cai, I Lee. “Exploring Public Sentiment During COVID-19: A Cross Country Analysis.” IEEE Transactions on …, 2022
  16. T Yang, J Xie, G Li, L Zhang, N Mou, H Wang, X Zhang. “Extracting Disaster-Related Location Information through Social Media to Assist Remote Sensing for Disaster Analysis: The Case of the Flood Disaster in the Yangtze ….” Remote Sensing, 2022
  17. P Yang, Y Ge, Y Yao, Y Yang. “GCN-based document representation for keyphrase generation enhanced by maximizing mutual information.” Knowledge-Based Systems, 2022
  18. S Yuan, Q Wang. “Imbalanced Traffic Accident Text Classification Based on Bert-RCNN.” Journal of Physics: Conference Series, 2022
  19. X Sun, J Zhou, S Wang, X Li, B Zheng, D Liu. “Linguistic Dependency Guided Graph Convolutional Networks for Named Entity Recognition.” International Conference on …, 2022
  20. VK Gunjan, Y Vijayalata, S Valli, S Kumar. “Machine Learning and Cloud-Based Knowledge Graphs to Recognize Suicidal Mental Tendencies.” Computational …, 2022
  21. T Yang, J Xie, P Song, G Li, N Mou, X Gao, J Zhao. “Monitoring Ecological Conditions by Remote Sensing and Social Media Data—Sanya City (China) as Case Study.” Remote Sensing, 2022
  22. X Yu, X Wang, X Luo, J Gao. “Multi‐scale event causality extraction via simultaneous knowledge‐attention and convolutional neural network.” Expert Systems, 2022
  23. X Zhao, C Wang, P Cui, G Sun. “Operational Rule Extraction and Construction Based on Task Scenario Analysis.” Information, 2022
  24. W Fan, Z Han, Y Wang, M Xie. “Parallel Rule Discovery from Large Datasets by Sampling.” … of the 2022 International Conference on …, 2022
  25. RAO Han, MA Yongmei. “Photocatalytic degradation of tetracycline hydrochloride by NaYF4: Yb,Tm@TiO2 composite catalyst.” Journal of Functional …, 2022
  26. RAO Han, MA Yongmei. “Photocatalytic degradation of tetracycline hydrochloride by NaYF4: Yb,[email protected]2 composite catalyst.” Journal of Functional …, 2022
  27. H Song, S Wang, Y Liu, Y Wang. “Predicate-attention neural model for Chinese semantic role labeling.” Computers & Electrical Engineering, 2022
  28. L Pengfei, Y Zheng, W Chunning. “RESEARCH ON THE GEOLOGICAL ENTITIES BUSINESS RELATION EXTRACTION BASED ON THE BOOTSTRAPPING METHOD.” … in Business & …, 2022
  29. X Tang, Y Luo, D Xiong, J Yang, R Li, D Peng. “Short text matching model with multiway semantic interaction based on multi-granularity semantic embedding.” Applied Intelligence, 2022
  30. XL Wang, K Zhang, SQ Zong. “Spark-based Network Log Analysis.” 2022 14th …, 2022
  31. H Li, CP Bezemer. “Studying Popular Open Source Machine Learning Libraries and Their Cross-Ecosystem Bindings.” arXiv preprint arXiv:2201.07201, 2022
  32. H Li, G Yan, X Zhao, J Zhang, M Lyu. “Tactical mission event logic graph construction for Network-Centric Warfare.” Alexandria Engineering Journal, 2022
  33. Y Ma, Z Xie, G Li, K Ma, Z Huang, Q Qiu, H Liu. “Text visualization for geological hazard documents via text mining and natural language processing.” Earth Science Informatics, 2022
  34. J Li, Z Luo, H Huang, Z Ding. “Towards Knowledge-Based Tourism Chinese Question Answering System.” Mathematics, 2022
  35. Z Shao, H Fang. “Transformer couplet generation model based on joint word segmentation.” … Simulation, and Data Analysis (CMSDA 2021 …, 2022
  36. Q Geng, Z Chuai, J Jin. “Webpage retrieval based on query by example for think tank construction.” Information Processing & Management, 2022
  37. Q Chen, H Yao, S Li, X Li, X Kang, W Lai, J Kuang. “vFact-condition statements and super relation extraction for geothermic knowledge graphs construction.” Geoscience Frontiers, 2022
  38. 周映彤, 孟剑, 郭岩, 刘悦, 贺广福, 董琳, 程学旗. “一种无结构金融公告多元关系抽取方法.” 中文信息学报, 2022
  39. 陈璟浩, 陶荣根. “我国公民养老服务需求与政策供给匹配研究——基于百度知道, 知乎问答平台数据.” 信息资源管理学报, 2022
  40. 安宁, 安璐. “突发公共卫生事件舆情环境下的群体智慧涌现研究.” 情报学报, 2022
  41. 陈强. “非结构化智能金融投研平台的开发与行业应用 ①.” NA, 2022

2021 (145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. K Li, C Qu. “A Classified Question and Answer System Based on SpringBoot Integrated Neo4j Graph Database.” 2021 International Conference on Intelligent …, 2021
  4. 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.
  5. H Huang, M Zha. “A Generative Text Summarization Model Based on Document Structure Neural Network.” International Conference on Applied Intelligence and …, 2021
  6. T Gong, X Yao, K N. SIROTA. “A Hybrid Recommender System based on DeepCF and Wide Linear Model for K12 Online Education.” 2021 4th Artificial Intelligence and Cloud …, 2021
  7. R Zhou, W Liu, S Lei, W Zhang. “A Machine Learning Based Sameness Recognition Method for Power System Management Information.” 2021 IEEE 5th …, 2021
  8. 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.
  9. B Liu, Z Wang, Y Ding, Q Lu. “A Model of Chinese Named Entity Recognition in the Field of Oil and Gas Exploration Using Domain Dictionary.” 2021 16th International …, 2021
  10. C Zhang, Y Cai, W Rao. “A Non-Autoregressivee Network for Chinese Text to Speech and Voice Cloning.” 2021 IEEE International Conference …, 2021
  11. B Chen, G Lu, Y Xue, Q Cai. “A Novel Bi-Branch Graph Convolutional Neural Network for Aspect Level Sentiment Classification.” 2021 International Joint …, 2021
  12. 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.
  13. J Shao, C Bu, S Ji, X Wu. “A Weak Supervision Approach with Adversarial Training for Named Entity Recognition.” Pacific Rim International Conference on …, 2021
  14. J Qin, Z Zhou, Y Tan, X Xiang, Z He. “A big data text coverless information hiding based on topic distribution and TF-IDF.” International Journal of Digital …, 2021
  15. J Pan, L Wu, X Yin, P Wu, C Xu. “A chapter-wise understanding system for text-to-speech in chinese novels.” ICASSP 2021-2021 IEEE …, 2021
  16. 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.
  17. 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.
  18. H Guan, G Cai, C Zhao. “An Automatic Approach to Extracting Requirement Dependencies based on Semantic Web.” 2021 8th International Conference on …, 2021
  19. H Chen, S Huang, Y Liu, R Luo. “An Effective Crowdsourced Test Report Clustering Model Based on Sentence Embedding.” 2021 IEEE 21st …, 2021
  20. W Huaxiao, Z Yani, W Jingke, J Li. “Application and improvement of Knowledge Graph in Literature Management in the Field of Information Communication.” … Conference on Computer …, 2021
  21. Y Teng, W Chao. “Argumentation-Driven Evidence Association in Criminal Cases.” Findings of the Association for Computational …, 2021
  22. G Chen, R Yao, G Chen, J Chen. “A smart urban management information public opinion analysis system.” International Journal of …, 2021
  23. 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.
  24. D Wang, K Liu, D Mohaisen, P Wang, CT Lu. “Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning.” Proceedings of the 29th …, 2021
  25. S Bonthu, S Rama Sree. “Automated Short Answer Grading Using Deep Learning: A Survey.” International Cross-Domain …, 2021
  26. MX Wen, YQ Chen, H Wu, SH Hou. “Automatic Classification of Government Texts Based on Improved CNN and Skip-gram Models.” 2021 2nd International …, 2021
  27. Y Ma, Y Dou, M Wang, Y Wang, M Jiang. “Automatic Recognition and Segmentation of Composite User Stories Based on Semantic Analysis.” The 5th International …, 2021
  28. 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.
  29. TGA Virgínio, I Machado. “Avaliação empírica da geração automatizada de testes de software sob a perspectiva de Test Smells.” … Estendidos do XII Congresso Brasileiro de …, 2021
  30. M Yan, X Luo. “BERT-Based Detection of Sexual Harassment in Dialogues.” 2021 5th International Conference on Computer …, 2021
  31. L Ding, Z Zhang, Y Zhao. “Bert-Based Chinese Medical Keyphrase Extraction Model Enhanced with External Features.” International Conference on Asian Digital …, 2021
  32. Z Zeng, C Tu, N Gao, C Xue, C Ma. “CMVCG: Non-autoregressive Conditional Masked Live Video Comments Generation Model.” 2021 International Joint …, 2021
  33. J Huang, M Xu, H Zheng, Q Shang. “Chinese Math Word Problems Generation Network.” Journal of Physics …, 2021
  34. M Ma, K Gao, Y Liu, H Jia, X Wang. “Chinese Medical Question Answering Model Based on Lattice CNNs.” … Conference on Machine …, 2021
  35. M Han, L Dong, S Zhou, B Xu. “Cif-based collaborative decoding for end-to-end contextual speech recognition.” ICASSP 2021-2021 IEEE …, 2021
  36. L Xing, L Jin, Y Jia, C Wu. “Citation Recommendation Based on Community Merging and Time Effect.” International Conference of Pioneering …, 2021
  37. M Wang, F Dong, H Liu, Q Lin. “Construction and Application of Knowledge Graph for Aerospace Product Quality Problems.” 2021 2nd International …, 2021
  38. 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.
  39. E Zuo, A Aysa, M Muhammat, Y Zhao, K Ubul. “Context aware semantic adaptation network for cross domain implicit sentiment classification.” Scientific Reports, 2021
  40. 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.
  41. 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).
  42. L Ding, Z Zhang, H Liu, Y Zhao. “Design and Implementation of Keyphrase Extraction Engine for Chinese Scientific Literature.” NA, 2021
  43. L Ding, Z Zhang, H Liu, Y Zhao. “Design and Implementation of Keyphrase Extraction Engine for Chinese Scientific Literature.” [email protected] JCDL, 2021
  44. M Liu, Y Zhang, B Liu, Z Li, H Duan, D Sun. “Detecting and Characterizing SMS Spearphishing Attacks.” Annual Computer Security …, 2021
  45. M Liu, Y Zhang, B Liu, Z Li, H Duan, D Sun. “Detecting and characterizing SMS spearphishing attacks.” Annual Computer Security …, 2021
  46. 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.
  47. G Tan. “Development of new methods for sentiment and text analysis in social networks to predict user preferences.” NA, 2021
  48. T Zhang, Z Liao. “Dilated Convolutional Neural Network with Joint Training for Chinese Word Segmentation.” 2021 6th International Conference on Mathematics and …, 2021
  49. 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).
  50. Abu-Salih, Bilal. “Domain-specific knowledge graphs: A survey.” Journal of Network and Computer Applications 185 (2021): 103076.
  51. J Lu, Z Zhang, X Yang, J Feng. “Efficient Subgraph Pruning & Embedding for Multi-Relation QA over Knowledge Graph.” 2021 International Joint …, 2021
  52. 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).
  53. 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.
  54. P Wang, Z Wang, X Zhang, K Wang, Z Feng. “Enhanced Named Entity Recognition with Semantic Dependency.” Pacific Rim International …, 2021
  55. L Niu, Q Zheng, L Zhang. “Enhance gated graph neural network with syntactic for sentiment analysis.” 2021 IEEE International Conference …, 2021
  56. JG Rêgo Neto. “Entendendo a relação entre integração contínua e cobertura de testes: um estudo empírico.” NA, 2021
  57. Z Zhang, B He, H Meng, R Liu. “Entity-Dependency Graph Enforced Quantity Relation Extraction for Solving Arithmetic Word Problems.” 2021 IEEE International …, 2021
  58. 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.
  59. 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.
  60. X Li, M Lyu, Z Wang, CH Chen, P Zheng. “Exploiting knowledge graphs in industrial products and services: a survey of key aspects, challenges, and future perspectives.” Computers in Industry, 2021
  61. 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.
  62. S Fan, B Zhang, S Zhou, M Wang, K Li. “Few-Shot Relation Extraction Towards Special Interests.” Big Data Research, 2021
  63. S Chen, Y Zhao, X Lei, T Qi, K Liu. “From Human Oral Instructions to General Representations of Knowledge: A New Paradigm for Industrial Robots Skill Teaching.” International Conference on Cognitive …, 2021
  64. H Tan, S Peng, JX Liu, CP Zhu. “Generating Personas for Products on Social Media: A Mixed Method to Analyze Online Users.” International Journal of …, 2021
  65. J Zhu. “Graph Attentive Leaping Connection Network for Chinese Short Text Semantic Classification.” International Conference on Web Information Systems …, 2021
  66. Bonnell, Jerry, and Mitsunori Ogihara. “Hoshi: A Japanese morphological adorner for TEI XML.” Digital Scholarship in the Humanities 36, no. 1 (2021): 32-42.
  67. 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.
  68. P Qiu, J Gao, F Lu. “Identifying the Relatedness between Tourism Attractions from Online Reviews with Heterogeneous Information Network Embedding.” ISPRS International Journal of Geo-Information, 2021
  69. 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.
  70. 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.
  71. TV Sakhnova. “" Incomplete" Court Procedures in Modern Civil Procedure.” Herald Civ. Proc., 2021
  72. 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
  73. 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
  74. C Chen. “Insincere Question Classification by Deep Neural Networks.” 2021 IEEE International Conference on Computer …, 2021
  75. H Bin, W Nuo, H Xin. “Integrating Expert Reviews for Government Information Projects with Knowledge Fusion.” Data Analysis and Knowledge …, 2021
  76. W Hou, Y Cao. “Intelligent Question Answering System Based on Knowledge Graph of Beijing Opera.” 2021 3rd International Conference on Natural …, 2021
  77. 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.
  78. L Liu, W Zhang, J Liu, W Shi. “Interpretable Charge Prediction for Legal Cases based on Interdependent Legal Information.” 2021 International Joint …, 2021
  79. 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.
  80. Bates, Susan. “Literature Listing.” World Patent Information 64 (2021): 102019.
  81. S Bates. “Literature listing.” World Patent Information, 2021
  82. K Sun. “Machine Reading Comprehension: Challenges and Approaches.” NA, 2021
  83. H Liu, F Dong, M Wang, Q Lin. “Modelling and Implementation of a Knowledge Question-answering System for Product Quality Problem Based on Knowledge Graph.” Journal of Physics: Conference …, 2021
  84. R Han. “Modernization Planner, Authoritarian Paternalist, and Rising Power: Evolving Government Positions in China’s Internet Securitization.” NA, 2021
  85. H Bin, W Nuo, H Xin. “Multi-expert Approval Opinion Integration of Government Information Project Based on Knowledge Fusion.” Data Analysis and Knowledge …, 2021
  86. Y Cheng, M Ma, X Li, Y Zhou. “Multi-label classification of fundus images based on graph convolutional network.” BMC Medical …, 2021
  87. Z Kang, Y Liu, G Bi, F Fang, P Yin. “No news is an island: Joint heterogeneous graph network for news classification.” 2021 IEEE Symposium on …, 2021
  88. VV Argunov. “On Cognition and Proving in Cases of Non-Contentious Jurisdiction.” Herald Civ. Proc., 2021
  89. 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
  90. 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.
  91. Q Yang, H Xie, G Cheng, FL Wang, Y Rao. “Pronunciation-enhanced chinese word embedding.” Cognitive Computation, 2021
  92. 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.
  93. Y Sun, M Ji, F Jin, H Wang. “Public responses to air pollution in Shandong Province using the online complaint data.” ISPRS International Journal of Geo …, 2021
  94. H Zhou, X Guo, C Liu, Z Tang, S Lu. “Question Similarity Measurement of Chinese Crop Diseases and Insect Pests Based on Mixed Information Extraction.” KSII Transactions on …, 2021
  95. Y Jiao, J Han, B Xu, M Xiao, B Shen. “Research on Domain Entity Extraction in Civil Aviation Safety.” 2021 IEEE 3rd …, 2021
  96. 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.
  97. W Kaibiao, L Yuxiang, D Yu. “Research on Policy Text Relevance Mining Method Integrating Syntactic Structure and Word Meaning Information.” Data Analysis and …, 2021
  98. K Zhang, G Qian. “Research on named entity recognition technology for Chinese titles.” Journal of Physics: Conference Series, 2021
  99. Q Liu, X Ma, P Zhou, L Wu, S Yu, X Yang. “Research on the CRF-based Sequence Labeling Algorithm Used in Reference Resolution of Mathematical Word Problem Understanding.” 2021 13th International …, 2021
  100. XU Qiurong, ZHU Peng, LUO Yifeng. “Research progress in Chinese named entity recognition in the financial field.” Journal of East China …, 2021
  101. 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.
  102. Q Yang, F Xu, Z Ling, X Li, Y Li. “Selecting and Analyzing Speech Features for the Screening of Mild Cognitive Impairment.” 2021 43rd Annual …, 2021
  103. 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.
  104. L Askani, S Schumacher, R Fuchs. “Sequence and gene expression analysis of recently identified NLP from Plasmopara viticola.” Microorganisms, 2021
  105. 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).
  106. 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
  107. 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
  108. M Cao. “Text-Based Industry Classification Based on Chinese A Share Annual Reports.” 2021 2nd International Conference on Big Data & …, 2021
  109. 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.
  110. J Wu, Y Jiang, X Chen, L Guo, X Wei. “" The Canton Canon" Digital Library Based on Knowledge Graph-Taking the Revolutionary Archives of Canton in the Republic of China as an Example.” 2021 10th International …, 2021
  111. 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.
  112. M Dooley, O Nierstrasz, P Rani, N Stulova. “Tool Support for Commenting Conventions.” NA, 2021
  113. D Wang, K Liu, D Mohaisen, P Wang, CT Lu. “Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing.” Frontiers in big …, 2021
  114. Shi, Yu. “Transformer-F: A Transformer network with effective methods for learning universal sentence representation.” arXiv preprint arXiv:2107.00653 (2021).
  115. Y Wu, Y Zhu, J Li, C Zhang, T Gong, X Du. “Unmanned Aerial Vehicle Knowledge Graph Construction with SpERT.” China Conference on …, 2021
  116. 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.
  117. 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.
  118. 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.
  119. 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
  120. 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
  121. 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.
  122. 赵晓函, 周子力, 李天宇, 陈丹华, 王凯莉. “一种基于 IC 参数的知识图谱嵌入方法.” 中文信息学报, 2021
  123. 赵晓函, 周子力, 李天宇, 陈丹华, 王凯莉. “一种基于IC 参数的知识图谱嵌入方法.” 中文信息学报, 2021
  124. 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.
  125. 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).
  126. 丽路, 宏喜魏. “基于云服务平台的数据知识资源管理系统的设计与开发.” [内蒙古大学] 研究生毕业论文, 2021
  127. 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.
  128. 李佳, 刘海砚, 刘俊楠, 刘建湘. “基于知识图谱的新冠肺炎病例传播关系可视分析.” 信息工程大学学报, 2021
  129. 武书钊, 李功权, 卜明伟. “基于知识图谱的自杀倾向检测问答系统构建.” 计算机工程与应用, 2021
  130. 宁海荣, 尤建清, 李英豪, 肖丝莹, 王雨晴. “基于知识库的 C 语言问答系统的设计与实现.” Computer Science and …, 2021
  131. 宁海荣, 尤建清, 李英豪, 肖丝莹, 王雨晴. “基于知识库的C 语言问答系统的设计与实现.” Computer Science and …, 2021
  132. 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.
  133. 景铭, 李晓燕, 郁湧, 谢仲文. “基于网络游记的云南省旅游目的地形象季节性画像分析.” Geographical Science Research, 2021
  134. 郑泳智, 吴惠粦, 朱定局, 陈炳旭, 李文景. “基于荔枝和龙眼病虫害知识图谱的问答系统.” 计算机与数字工程, 2021
  135. 李敬炜. “安卓性能用例筛选系统的设计与实现.” NA, 2021
  136. 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.
  137. 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.
  138. 余潇慧, 乐明. “汉语译文中人称代词句法成分的类比显化研究.” 浙江海洋大学学报 (人文科学版), 2021
  139. 赵泽鹏, 戴国华, 高武霖. “现代名老中医医案数据库的构建与数据处理.” 中医杂志, 2021
  140. 张军亮, 方雪梅, 雒曼, 孙晶晶. “融合 HowNet 的中文电子病历命名实体识别.” 情报理论与实践, 2021
  141. 张军亮, 方雪梅, 雒曼, 孙晶晶. “融合HowNet 的中文电子病历命名实体识别.” 情报理论与实践, 2021
  142. 徐秋荣, 朱鹏, 罗轶凤, 董启文. “金融领域中文命名实体识别研究进展.” 华东师范大学学报 (自然科学版), 2021
  143. 王弘睿, 刘畅, 于东. “面向人工智能伦理计算的中文道德词典构建方法研究.” 中文信息学报, 2021
  144. 曹亮, 庄振胤, 刘双印, 李湘丽, 徐龙琴, 尹航. “面向水产养殖领域的对虾知识图谱云平台设计与实现.” Computer Science and …, 2021
  145. 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 (109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. LA Terekhova. “Administrative Proceedings Drip.” Herald Civ. Proc., 2020
  6. 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.
  7. 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.
  8. 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).
  9. 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.
  10. 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.
  11. X Chenfei, Y Haiying, B Ping. “Automatic recognition of produce entities from local chronicles with deep learning.” Data Analysis and …, 2020
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. He, Huihua, Si He, and Yan Li. “Contemporary Chinese parents’ needs and questions of parenting for young children: a Web text-mining approach.” (2020).
  21. 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.
  22. Y Wang, J Gao, J Chen. “Deep learning algorithm for judicial judgment prediction based on BERT.” 2020 5th International Conference on …, 2020
  23. 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.
  24. 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.
  25. 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.
  26. C Li, L Liu, Z Dai, X Liu. “Different sourcing point of interest matching method considering multiple constraints.” ISPRS International Journal of Geo-Information, 2020
  27. 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.
  28. 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.
  29. Li, Hongzheng, and Heyan Huang. “Evaluating Low-Resource Machine Translation between Chinese and Vietnamese with Back-Translation.” arXiv preprint arXiv:2003.02197 (2020).
  30. H Li, H Huang. “Evaluating low-resource machine translation between chinese and vietnamese with back-translation.” arXiv preprint arXiv:2003.02197, 2020
  31. 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.
  32. Su, Zichun, and Jialin Jiang. “Hierarchical gated recurrent unit with semantic attention for event prediction.” Future Internet 12, no. 2 (2020): 39.
  33. 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.
  34. 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.
  35. O Tuntula, O Yuvchenko. “Innovative Constitutional Bases for Protection Legal Status of Participants in Anticriminal Proceedings.” JE Eur. L., 2020
  36. 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.
  37. 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.
  38. X Jin, X Wang, X Luo, S Huang, S Gu. “Inter-sentence and implicit causality extraction from chinese corpus.” Pacific-Asia Conference on …, 2020
  39. 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.
  40. 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.
  41. Yang, X., L. Wu, and G. Wang. “Iterated dilated convolutional neural networks for word segmentation.” Neural Network World 30, no. 5 (2020): 333.
  42. 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.
  43. Hou, Shengluan, and Ruqian Lu. “Knowledge-guided unsupervised rhetorical parsing for text summarization.” Information Systems 94 (2020): 101615.
  44. 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.
  45. 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.
  46. L Hui, H Jixia. “Multi-Dimensional Subject Knowledge Network Fusion Method Based on Graph Convolution Self-Encoding Model.” Library and Information Service, 2020
  47. 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).
  48. Lu, Ruqian, and Shengluan Hou. “On semi-supervised multiple representation behavior learning.” Journal of Computational Science 46 (2020): 101111.
  49. 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.
  50. 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.
  51. 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).
  52. S Ran, A Lu. “Propagation Prediction of Police Microblog Entries Based on Heterogeneous Information Network.” Library and Information Service, 2020
  53. 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.
  54. 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.
  55. 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.
  56. 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).
  57. 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.
  58. G Tao, W Shi-qi, S Yi-Cheng. “Research on Online Review Based on LDA Subject Model.” International Journal of …, 2020
  59. 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.
  60. Z Junliang. “Research on Semantic Similarity of Diseases Based on Multidimensional.” Library and Information Service, 2020
  61. 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.
  62. 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.
  63. 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.
  64. H Li, J Sha, C Shi. “Revisiting back-translation for low-resource machine translation between chinese and vietnamese.” IEEE Access, 2020
  65. Y Wang, L Zheng, N Li. “Rom: A requirement opinions mining method preliminary try based on software review data.” Proceedings of the 2020 4th International …, 2020
  66. 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.
  67. 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.
  68. 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.
  69. 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.
  70. 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.
  71. Yang, Yuexin, and Gongchang Ren. “Web-based methodology for extracting technology words in Chinese process patents.” International Journal of Web Information Systems (2020).
  72. Левківський, Вадим Валерійович. “Веб-сервіс для інтелектуального опрацювання документів на основі NER.” Bachelor’s thesis, КПІ ім. Ігоря Сікорського, 2020.
  73. 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).
  74. 李慧, and 胡吉霞. “一种基于图卷积自编码模型的多维度学科知识网络融合方法.” 图书情报工作 64, no. 18 (2020): 114.
  75. 田钟林, 吴旭, 颉夏青, 许晋, and 陆月明. “一种基于领域语义关系图的短文本实时分析模型.” 数据分析与知识发现 4, no. 2/3 (2020): 239-248.
  76. 易善炳. “人工智能在非物质文化遗产保护中的运用.” 科学. 经济. 社会 38, no. 1 (2020): 19-25.
  77. 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.
  78. 赵晓蕾, and 田立刚. “从失序走向有序:“去符号化” 的老庄逻辑.” 科学. 经济. 社会 38, no. 1 (2020): 39-44.
  79. 陈晓军, and 向阳. “企业风险知识图谱的构建及应用.” 计算机科学 47, no. 11 (2020): 237-243.
  80. 殷一博. “农业剩余劳动力转移与新型城镇化建设的耦合性分析.” 科学. 经济. 社会 38, no. 1 (2020): 57-62.
  81. 孙莲珂. “券商上市对分析师预测的影响.” 科学. 经济. 社会 38, no. 1 (2020): 45-56.
  82. 朱武信, and 夏翠娟. “命名实体识别在数字人文中的应用–基于 ETL 的实现.” 图书馆论坛 40, no. 5 (2020): 16-20.
  83. 朱武信, 夏翠娟. “命名实体识别在数字人文中的应用–基于ETL 的实现.” 图书馆论坛, 2020
  84. 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.
  85. 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
  86. 翁海瑞, 林穗, 何立健. “基于内容推荐与时间函数结合的新闻推荐算法.” 计算机与数字工程, 2020
  87. 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.
  88. 付瑶, 万静, and 邢立栋. “基于条件随机场与信息熵的特定领域概念发现.” 计算机应用研究 37, no. 3 (2020): 708-711.
  89. 陈璟浩, 曾桢, and 李纲. “基于知识图谱的 “一带一路” 投资问答系统构建.” 图书情报工作 64, no. 12 (2020): 95.
  90. 陈璟浩, 曾桢, 李纲. “基于知识图谱的“一带一路” 投资问答系统构建.” 图书情报工作, 2020
  91. 王璐. “基于知识图谱的健康膳食知识智能问答系统.” Master’s thesis, 兰州大学, 2020.
  92. 钟敏, and 汪洋. “基于计量风格学的多层次特征在作者识别应用研究.” 计算机与数字工程 48, no. 5 (2020): 1159-1163.
  93. 张军亮. “多维度疾病语义相似度研究.” 图书情报工作 64, no. 12 (2020): 127.
  94. 陆根书, 李珍艳, 王玺. “大数据分析在研究生教育质量评价中的应用探析.” 北京航空航天大学学报 (社会科学版), 2020
  95. 熊辩. “建设项目招标清单漏项检测系统设计与实现.” NA, 2020
  96. 孙冉, and 安璐. “异质信息网络嵌入视角下公安微博传播预测研究.” 图书情报工作 64, no. 21 (2020): 67.
  97. 周柏乔. “心灵与智能的关系.” 科学. 经济. 社会 38, no. 1 (2020): 1-5.
  98. 孙恩慧, and 王伯鲁. “机器技术哲学的第三条进路探析–兼论马克思与芒福德的机器技术哲学.” 科学. 经济. 社会 38, no. 1 (2020): 6-12.
  99. 高凯丽. “水务知识图谱构建及问答应用系统的研究与实现.” NA, 2020
  100. 刘鹏, 叶帅, 舒雅, 鹿晓龙, and 刘明明. “煤矿安全知识图谱构建及智能查询方法研究.” 中文信息学报 34, no. 11 (2020): 49-59.
  101. 吴信东, 李娇, 周鹏, 卜晨阳. “碎片化家谱数据的融合技术.” 软件学报. http://www. jos. org. cn/1000 …, 2020
  102. 窦冬辰. “让与担保的信托法解释.” 科学. 经济. 社会 38, no. 1 (2020): 70-80.
  103. 生蕾. “论人工智能时代人类劳动的解放.” 科学. 经济. 社会 38, no. 1 (2020): 13-18.
  104. 邱德钧, and 冯霞. “谓词逻辑视角下 HanLP 中文分词中对歧义的处理.” 科学. 经济. 社会 38, no. 1 (2020): 33-38.
  105. 龙广玉, 陈益强, and 邢云冰. “连续手语识别中的文本纠正和补全方法.” 计算机应用 41, no. 3 (2020): 694-698.
  106. Wang, Hongrui, Chang Liu, and Dong Yu. “面向人工智能伦理计算的中文道德词典构建方法研究 (Construction of a Chinese Moral Dictionary for Artificial Intelligence Ethical Computing).” In Proceedings of the 19th Chinese National Conference on Computational Linguistics , pp. 539-549. 2020.
  107. H Wang, C Liu, D Yu. “面向人工智能伦理计算的中文道德词典构建方法研究(Construction of a Chinese Moral Dictionary for Artificial Intelligence Ethical Computing).” Proceedings of the 19th Chinese National …, 2020
  108. 尹春勇, and 章荪. “面向短文本情感分类的端到端对抗变分贝叶斯方法.” 计算机应用 40, no. 9 (2020): 2536-2542.
  109. 李书钦, 刘召, 史运涛. “面向食品安全裁判文书的命名实体识别方法研究.” 计算机时代, 2020

2019 (99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. Q Yu, J Zhou, W Gong. “A Lightweight Sentiment Analysis Method.” ZTE Communications, 2019
  3. 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.
  4. X Zhang, P Wu, J Cai, K Wang. “A contrastive study of Chinese text segmentation tools in marketing notification texts.” Journal of Physics: Conference …, 2019
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. X Guan, Y Li, Q Zeng, C Zhou. “An automatic text summary extraction method based on improved textrank and TF-IDF.” IOP Conference Series: Materials …, 2019
  11. 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.
  12. 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.
  13. J Hu, A Fang, W Zhao, C Yang. “Annotating Chinese e-medical record for knowledge discovery.” Data Analysis and …, 2019
  14. 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.
  15. 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.
  16. SH Lee. “A study of prediction of Live-stream subscriptions: the case of Twitch.” NA, 2019
  17. 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).
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. Gong, Tuanji, and Xuanxia Yao. “Deep Exercise Recommendation Model.” International Journal of Modeling and Optimization 9, no. 1 (2019).
  23. T Gong, X Yao. “Deep exercise recommendation model.” International Journal of Modeling and Optimization, 2019
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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).
  29. 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.
  30. Yi, Lu, Rao Yuan, Sun Long, and Li Xue. “Expert Information Automatic Extraction for IOT Knowledge Base.” Procedia computer science 147 (2019): 288-294.
  31. L Yi, R Yuan, S Long, L Xue. “Expert information automatic extraction for IOT knowledge base.” Procedia computer science, 2019
  32. 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.
  33. 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.
  34. 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.
  35. Mangeot, Mathieu. “Génie lexico-sémantique multilingue contributif.” PhD diss., Université Savoie Mont Blanc, 2019.
  36. 汤连杰. “HanLP2. 0.” 软件和集成电路, 2019
  37. 张贝贝. “HanLP: 一触即发 叩响自主创新之门.” 收藏, 2019
  38. 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).
  39. 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.
  40. C Chong, L Nan, L Bing, W Chenlin, X Zengxulin. “Identifying Expertise Tags of Scholars by Multiple Features of Academic Publications.” Library and Information …, 2019
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. Z Zhao, X Wang, X Xu, Q Wang. “Multi-modal question answering system driven by domain knowledge graph.” 2019 5th International …, 2019
  49. 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.
  50. A Bäck, N Diakopoulos, M Granroth-Wilding. “News Automation: The rewards, risks and realities of’machine journalism’.” NA, 2019
  51. 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).
  52. 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).
  53. Hu, Chaoju, and Xiaojie Yang. “Online Comment Text Analysis with Improved Feature Weight.” Academic Journal of Computing & Information Science 2, no. 1 (2019).
  54. 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).
  55. X Zuo, Z Dou, Z Huang, S Lu, J Wen. “Product Category Mining Associated with Weibo Hot Topics.” Journal of Computer Research …, 2019
  56. 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.
  57. 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.
  58. 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.
  59. 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.
  60. 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.
  61. 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.
  62. J Cheng, J Fu, Y Kang, H Zhu, W Dai. “Sentiment analysis of social networks’ comments to predict stock return.” International Conference on Human …, 2019
  63. Fedchyshyn, Andriy. “The Genesis of Arbitration Laws and International Commercial Arbitration.” Law Rev. Kyiv UL (2019): 390.
  64. 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.
  65. 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.
  66. 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.
  67. 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.
  68. 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.
  69. 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.
  70. J Gao, H Ning, H Sun, R Liu, Z Han, L Kong. “[email protected] AILA: Legal Retrieval Based on Information Retrieval Model.” FIRE (Working Notes), 2019
  71. 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).
  72. 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.
  73. 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.
  74. 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).
  75. 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.
  76. 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).
  77. 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
  78. 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.
  79. 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).
  80. 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.
  81. 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.
  82. 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
  83. 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).
  84. 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.
  85. 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).
  86. 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).
  87. 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.
  88. 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).
  89. 朱晓亮, 吴逸尘, 殷姿. “基于自动文摘的作文素材标签提取方法研究.” 计算机应用与软件, 2019
  90. 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).
  91. 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.
  92. 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.
  93. 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.
  94. 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).
  95. 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
  96. 黄畅, 郭文忠, 郭昆. “面向微博热点话题发现的改进 BBTM 模型研究.” 计算机科学与探索, 2019
  97. 黄畅, 郭文忠, 郭昆. “面向微博热点话题发现的改进BBTM 模型研究.” 计算机科学与探索, 2019
  98. 胡佳慧, 方安, 赵琬清, 杨晨柳, and 任慧玲. “面向知识发现的中文电子病历标注方法研究.” 数据分析与知识发现 3, no. 7 (2019): 123-132.
  99. 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 (66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.
  5. Zhu, Zhiliang, Deyang Li, Jie Liang, Guoqi Liu, and Hai Yu. “A dynamic personalized news recommendation system based on BAP user profiling method.” IEEE Access 6 (2018): 41068-41078.
  6. Shao, Lijie, Fuwei Zhang, Ruomei Wang, Fan Zhou, and Shujin Lin. “An Efficient Expansion Word Extraction Algorithm for Educational Video.” In 2018 7th International Conference on Digital Home (ICDH) , pp. 131-136. IEEE, 2018.
  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).
  9. Glauber, Rafael, and Daniela Barreiro Claro. “A systematic mapping study on open information extraction.” Expert Systems with Applications 112 (2018): 372-387.
  10. Tang, Kaiyu, Yixin Bao, Zhijian Zhao, Liang Zhu, Yining Lin, and Yao Peng. “Autohighlight: Automatic highlights detection and segmentation in soccer matches.” In 2018 IEEE International Conference on Big Data (Big Data) , pp. 4619-4624. IEEE, 2018.
  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.
  12. Zhong, Junmei, and Xiu Yi. “Chinese electronic health record analysis for recommending medical treatment solutions with NLP and unsupervised learning.” In MATEC Web of Conferences , vol. 189, p. 10007. EDP Sciences, 2018.
  13. Yarkov, Vladimir V., and Igor N. Spitsin. “Contesting of normative legal acts in court: Procedure de lege lata and ways of improving.” Vestnik Saint Petersburg UL (2018): 554.
  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. J Zhong, X Yi, J Wang, Z Shao, P Wang. “Deep Learning Based Data Governance for Chinese Electronic Health Record Analysis.” CS & IT Conference …, 2018
  17. 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).
  18. D Yan, T Li, X Yang, K Chen. “Design and Implementation of Parallelized LDA Topic Model Based on Map Reduce.” DEStech Transactions on …, 2018
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. TK Bopape. “Factors that can improve the reliability of the traction motor for the Locomotives.” NA, 2018
  26. Prystay, T. “Formation and Development of Legislation-The Basis of Legal Status of Subjects of Foreign Economic Activity.” Law Rev. Kyiv UL (2018): 191.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. He, Han. “Industrial Strength Dependency Parsing System.” PhD diss., 2018.
  33. 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.
  34. 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.
  35. CY Chiang, MY Day. “International Journal of Computational Linguistics & {C} hinese Language Processing, Volume 23, Number 2, December 2018.” … Journal of Computational Linguistics & {C} …, 2018
  36. 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).
  37. 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.
  38. 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.
  39. Zhao, Junlei, Bicheng Li, and Lei Guo. “Open domain event attribute extraction method.” DEStech Transactions on Computer Science and Engineering iciti (2018).
  40. Y Xing, Y Liu. “REVIEW OF SYNTACTIC ANALYSIS SOFTWARE AUTOMATIC GENERATION.” ICIC express letters. Part B, Applications: an …, 2018
  41. 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.
  42. 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.
  43. 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.
  44. Lv, Jinna, Bin Wu, Lili Zhou, and Han Wang. “Storyrolenet: Social network construction of role relationship in video.” IEEE Access 6 (2018): 25958-25969.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. Y Jiang, Y Yu, X Wang, Z Liu. “The law of semantic change of opposite compounds.” 2018 International Conference …, 2018
  51. 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).
  52. Zhang, Manying, and Kim Gerdes. “Who’s the werewolf.” (2018).
  53. 師茂樹. “macOS で HanLP を使う (特集 入門・中国語形態素解析).” 漢字文献情報処理研究, 2018
  54. 師茂樹. “macOS でHanLP を使う(特集入門・中国語形態素解析).” 漢字文献情報処理研究, 2018
  55. 荣垂田, 李银银, 王琰. “中文关键短语自动提取方法研究.” 计算机科学与探索, 2018
  56. 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.
  57. 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.
  58. 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).
  59. 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
  60. 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.
  61. 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.
  62. 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.
  63. 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.
  64. 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.
  65. 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.
  66. 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 (33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. Z Li, Q Zhang, Y Liu, D Feng, Z Huang. “Recurrent neural networks with specialized word embedding for Chinese clinical named entity recognition.” CEUR Workshop Proceedings, 2017
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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).
  21. 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.
  22. 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.
  23. 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).
  24. 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
  25. 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.
  26. 肖娜萍. “基于QFD 的基本公卫信息系统质量改进研究.” NA, 2017
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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 (35篇)

  1. S Huang, Y Xiu, S Liu, C Kong. “A Bilateral Context and Filtering Strategy-Based Approach for Chinese Entity Synonym Set Expansion.” Available at SSRN 4072786, Unknown Year
  2. Q Qiu, Z Xie, S Wang, Y Zhu, H Lv, K Sun. “ChineseTR: A weakly supervised toponym recognition architecture based on automatic training data generator and deep neural network.” Transactions in GIS, Unknown Year
  3. 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.
  4. Zhong, Junmei, Xiu Yi, Jian Wang, Zhuquan Shao, Panpan Wang, and Sen Lin. “DEEP LEARNING BASED DATA GOVERNANCE FOR CHINESE ELECTRONIC HEALTH RECORD ANALYSIS.”
  5. Lian, Sixia, Shangyu Sun, Zerui He, Jiali Xu, and Qian Yin. “Design and Implementation of Python Learning Platform.” (2019).
  6. 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.
  7. S Droby, N Sela, E Levin. “Genetic and transcriptomic analysis of postharvest decay resistance in Malus sieversii and the characterization of pathogenicity effectors in Penicillium ….” NA, Unknown Year
  8. 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
  9. 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
  10. L Jie, T Xijin, YAN Zhihua, P Qin. “Leverage Quality News to Analyze Quality Risk of Industry Products.” Journal of Systems Science and …, Unknown Year
  11. van Walen, Terry. “Method Call Argument Completion using Deep Neural Regression.”
  12. Luo, Ling, Nan Li, Shuaichi Li, Zhihao Yang, and Hongfei Lin. “Neural Network Ensemble Approach for the Chinese Clinical Named Entity Recogni-tion.”
  13. Z Dengpeng, X Huixiang, T Fengshou, L Xinran. “Research on Chinese Text Similarity Calculation Based on Sequence Alignment Algorithm.” NA, Unknown Year
  14. Yuyan, Xing. “Research on key technologies of automatic generation of syntactic parser.”
  15. Mazodier, Pierric, Yoann Goudin, Mathieu Mangeot, and Valérie Bellynck. “Sinogramic Languages.”
  16. R Ding, P Xie, X Zhang, W Lu, L Li, L Si. “Supplementary Material for “A Neural Multi-digraph Model for Incorporating Gazetteers in Chinese NER”.” NA, Unknown Year
  17. 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.”
  18. Howard, L. “THE BRITISH JOURNAL I 0. F PSYCHIATRY JUNE i998 VOL. 172.”
  19. 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.
  20. S Li, W Hope. “Terminology Translation in Chinese Contexts.” NA, Unknown Year
  21. WANG, YUXUAN. “The Classification Of Spam Based On Naive Bayesian Model.”
  22. O Jerusalemartichoke, C JIANGYu-ting. “[[email protected], IXYZ ]^ 34, _ab2=> cd.[ef]:;:< 892ab=> cd: CDE 1∶ 20 (g∶ mL), pH6. 0, 7gFG 54C, 567 (mhijk7∶ mfl7= 1∶ 8) 131μg/gmn, 89op 40min; MNcdq:; ….” NA, Unknown Year
  23. Vanagas, Giedrius, and Agusti Solanas. “eHealth Solutions for the Integrated Healthcare.”
  24. 邓凯, 杨频, 李益洲, 杨星, 曾凡瑞, 张振毓. “一种可快速迁移的领域知识图谱构建方法.” 计算机科学, Unknown Year
  25. 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.”
  26. 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
  27. 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.
  28. 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
  29. 曾超, 刘晓宇, 林艺滨, and 温若辉. “基于电子取证数据的内容分析技术和应用.” 计算机科学 43, no. B12 (2016): 228-230.
  30. 袁满, 张维罡, 李明轩. “基于认知图谱的智能问答系统推理模型研究.” NA, Unknown Year
  31. 冷洁, 唐锡晋, 闫志华, 彭琴. “基于质量新闻的工业品质量风险分析.” 系统科学与数学, Unknown Year
  32. 杨志斌, 杨永强, 袁胜浩, 周勇, 薛垒, and 程高辉. “安全关键软件术语推荐和需求分类方法.” 计算机科学 48, no. 5: 32-44.
  33. Leng, Tangyun, Alan Bairner, Jiashu Hu, and Shuo Yang. “我国足球归化运动员社会认同问题研究: 基于社交媒体内容的 情感与主题分析 (The social identity of naturalized footballers in China: social media contents based sentiment and thematic analysis).
  34. T Leng, A Bairner, J Hu, S Yang. “我国足球归化运动员社会认同问题研究: 基于社交媒体内容的情感与主题分析(The social identity of naturalized footballers in China: social media contents based ….” NA, Unknown Year
  35. 崔志远, 赵尔平, 雒伟群, 王伟, 孙浩. “面向专业领域的多头注意力中文分词模型——以西藏畜牧业为例.” 中文信息学报, Unknown Year
1 Like

:+1: :+1: :+1:

awesome!

@hanlpbot I can’t find the private message in my sendmail box, and I have sent a private mail to you for applying the API yesterday. And now I can’t find the button to send you a private mail, neither. It is gone and I don’t know why. I’m sorry for using this way to communicate with you for this thing which is the only way I can do.

Hi, you did send out the application on our Chinese forum instead of here. You can find your auth there:

继续考古,这份引用也是非常好的学习资料,应用场景清晰明了,争取早日加入其中!支持 HanLP!