#1

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
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  3. Y Ding, J Ma, X Luo. “Applications of natural language processing in construction.” Automation in Construction, 2022
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  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
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  10. Y Ruan. “Design of Intelligent Recognition English Translation Model Based on Deep Learning.” Journal of Mathematics, 2022
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  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
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  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
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2021 (145篇)

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  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
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  33. J Huang, M Xu, H Zheng, Q Shang. “Chinese Math Word Problems Generation Network.” Journal of Physics …, 2021
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  44. M Liu, Y Zhang, B Liu, Z Li, H Duan, D Sun. “Detecting and Characterizing SMS Spearphishing Attacks.” Annual Computer Security …, 2021
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2020 (109篇)

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2019 (99篇)

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  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.
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  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.
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  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.
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  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.
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  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.
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  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.
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  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.
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  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).
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  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).
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  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).
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  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).
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2018 (66篇)

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  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.
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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.”
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1 Like
#2

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

#3

awesome!

#4

@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.

#5

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

#6

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!