自然语言处理：

计算语言学、深度学习下的自然语言处理

知识图谱和信息抽取：

实体识别、实体消歧、关系抽取、事件抽取、事件关系抽取

大模型：

大模型中的知识分析与萃取、知识增强的大模型、面向大模型的数据工程、大模型的能力评测

081203-计算机应用技术

081104-模式识别与智能系统

自然语言处理，知识图谱，信息抽取，事件抽取，大模型，多模态大模型

2012-09--2017-07   中国科学院大学   工学博士学位
2008-09--2012-07   北京化工大学   工学学士学位

   

2019-10~现在, 中国科学院自动化研究所, 副研究员
2017-07~2019-10,中国科学院自动化研究所, 助理研究员

2024-06-15-今,中国中文信息学会青年工作委员会, 副主任
2022-11-29-2024-06-15,中国中文信息学会青年工作委员会, 秘书长
2022-07-01-今,中国科技情报学会信息技术专委会, 委员
2017-07-30-今,中国中文信息学会语言与知识计算委员会, 委员

知识图谱
知识图谱与语义计算
知识图谱导论

• 2023年获得第 22 届国际语义网大会ISWC 2023(CCF B类会议)最佳张贴论文奖

• ​2022年入选中国科学院青年创新促进会,2022

• 2021年获中国电力科学院有限公司科学技术进步奖一等奖

• 《知识图谱》课程入选中国科学院大学校级研究生优秀课程（2021年）

• 2020年入选“第五届中国科协青年人才托举工程”, 国家级, 2020

• 2019年北京市科学技术进步奖一等奖（个人排名第五）, 一等奖, 省级, 2019

• 中国中文信息学会“钱伟长中文信息处理科学技术奖”一等奖（个人排名第四）, 一等奖, 专项, 2018

•  第十九届中国计算语言学大会（CCL 2020）最佳论文奖, 其他, 2020

•  2020年全国知识图谱与语义计算大会（CCKS 2020）最佳论文奖, 其他, 2020

•  CCF-腾讯犀牛鸟科研基金-优秀奖, 专项, 2020

•  CCF-腾讯犀牛鸟科研基金-优秀专利奖, 专项, 2020

•  中国科学院自动化研究所“十佳员工”, 研究所（学校）, 2019

•  中国科学院自动化研究所模式识别国家重点实验室“优秀员工”, 研究所（学校）, 2019

•  2017年北京市优秀毕业生, 省级, 2017

•  中国科学院大学优秀毕业生, 研究所（学校）, 2017

•  第五届全国知识图谱与语义计算大会（CCKS 2017）“最佳论文奖”, 其他, 2017

•  第四届基于自然标注大数据的自然语言处理国际学术研讨会（NLP-NABD 2016）“最佳论文奖”,  其他, 2016

• 基于知识巩固的增量事件识别方法、系统、装置, 发明, 2020, 第 1 作者, 专利号: 202011244409.x

• 基于联邦学习的分布式语言关系识别方法、系统和装置, 发明, 2020, 第 2 作者, 专利号: 202011285430.4

• 基于对抗模仿学习的事件识别及分类方法、系统、装置, 发明, 2021, 第 1 作者, 专利号: 201910440322.0

• 基于自注意力机制的中文命名实体识别方法、系统、装置, 发明, 2020, 第 1 作者, 专利号: 201811621018.8
  

• 基于多语注意力机制的事件识别及分类方法及装置, 发明, 2020, 第 1 作者, 专利号: 201711463578.0

在ACL、EMNLP、AAAI 等国际重要会议和期刊发表学术论文40 余篇，Google Scholar引用量5700余次，其中两篇论文入选ACL、EMNLP高影响力论文（Paper Digest评选），获得国际语义网大会ISWC 2023（CCF B类会议）最佳张贴论文奖，并多次获得最佳论文奖（NLP-NABD 2016、CCKS 2017、CCL 2020、CCKS 2020）。出版学术专著两部《知识图谱》、《知识图谱：算法与实践》，由人工智能学会推荐入选十三五国家重点图书出版规划教材。连续多年在中国科学院大学主讲《知识图谱》课程，2021 年获得中国科学院大学优秀课程。指导学生多次获得国际/国内学术评测奖励（NAACL-SMM4H 2021 社交媒体健康信息挖掘赛道冠军，SemEval 2022中文复杂命名实体识别赛道亚军，CCKS 2020医疗命名实体识别赛道冠军，万创杯天池中医药说明书实体识别挑战赛亚军，DCIC 2021数字中国创新大赛医疗大数据赛道亚军等）。更全的论文列表请参考：http://www.nlpr.ia.ac.cn/cip/yubochen/publications_cn.html

[1] Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao. Continual Few-shot Event Detection via Hierarchical Augmentation Networks. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). 2024, 第 3 作者  通讯作者  
[2] Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao. Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). 2024, 第 3 作者  通讯作者  
[3] Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao. Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons. The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024). 2024, 第 3 作者  通讯作者  
[4] Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao. Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). 2024, 第 4 作者
[5] Zhitao He, Pengfei Cao, Yubo Chen, Kang Liu, Ruopeng Li, Mengshu Sun, Jun Zhao. LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding). 2023, 第 3 作者
[6] Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen, Shengping Liu, Kang Liu, Jun Zhao. ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, demo). 2023, 第 6 作者  通讯作者  
[7] Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao. Complex Event Schema Induction with Knowledge-Enriched Diffusion Model. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding). 2023, 第 3 作者
[8] Shaoru Guo, Chenhao Wang, Yubo Chen, Kang Liu, Ru Li, Jun Zhao. EventOA: An Event Ontology Alignment Benchmark Based on FrameNet and Wikidata. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics（ACL 2023, finding）. 2023, 第 3 作者  通讯作者  
[9] Chenhao Wang, Shaoru Guo, Zhitao He, Yubo Chen, Kang Liu, Jun Zhao. CogNet2: A Multi-Level Frame Organized Knowledge Base Integrating Linguistic, World and Commonsense Knowledge. Proceedings of the ISWC 2023 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 22nd International Semantic Web Conference (ISWC 2023). 2023, 第 4 作者
[10] Zhuoran Jin, Pengfei Cao, Zhitao He, Yubo Chen, Kang Liu, Jun Zhao. Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding). 2023, 第 4 作者
[11] Pengfei Cao, Yupu Hao, Yubo Chen, Kang Liu, Huaijun Li, Xiaojian Jiang, Jun Zhao. Event Ontology Completion with Hierarchical Structure Evolution Networks. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023). 2023, 第 3 作者
[12] Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao. InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding). 2023, 第 3 作者  通讯作者  
[13] Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao. Event Process Typing via Hierarchical Optimal Transport. Association for the Advancement of Artificial Intelligence(AAAI 2023). 2023, 第 2 作者
[14] Pengfei Cao, Jin Zhuoran, Yubo Chen, Kang Liu, Jun Zhao. Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning. Association for the Advancement of Artificial Intelligence(AAAI 2023). 2023, 第 3 作者
[15] Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Qiuxia Li. Generating Temporally-ordered Event Sequences via Event Optimal Transport. Proceedings of the 29th International Conference on Computational Linguistics(COLING 2022). 2022, 第 2 作者
[16] Hang Yang, Yubo Chen, Jun Zhao, Kang Liu, Weijian Sun, Zuyu Zhao. Multi-turn and Multi-Granularity Reader for Document-level Event Extraction. ACM Transactions on Asian and Low-Resource Language Information Processing(ACM TALLIP)[J]. 2022, 第 2 作者
[17] Xiusheng Huang, Hang Yang, Yubo Chen, Jun Zhao, Kang Liu, Weijian Sun, Zuyu Zhao. Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning. Proceedings of the 29th International Conference on Computational Linguistics(COLING 2022). 2022, 第 3 作者
[18] Jin, Zhuoran, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao. A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). 2022, 第 3 作者
[19] Chenhao Wang, Jiachun Li, yubo chen, Kang Liu, jun zhao. CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). 2022, 第 3 作者
[20] Zhuoran Jin, Tianyi Men, Hongbang Yuan, Zhitao He, Dianbo Sui, Chenhao Wang, Yubo Chen. CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics（ACL 2022）demo. 2022, 第 7 作者
[21] Bo Zhou, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, jiexin xu, Xiaojian Jiang, Qiuxia Li. Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach. Proceedings of the 29th International Conference on Computational Linguistics(COLING 2022). 2022, 第 3 作者
[22] Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao. Script Event Prediction via Multilingual Event Graph Networks. ACM Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP)[J]. 2022, 第 2 作者
[23] Yang Zhou, Yubo Chen, Jun Zhao, Yin Wu, Jiexin Xu, Jinlong Li. What the role is vs. What plays the role:Semi-supervised Event Argument Extraction via Dual Question Answering. AAAI 2021. 2021, 第 2 作者
[24] Wang, Chenhao, Chen, Yubo, Xue, Zhipeng, Zhou, Yang, Zhao, Jun. CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge. AAAI 2021 Demo. 2021, 第 2 作者http://arxiv.org/abs/2103.02141.
[25] Cao, Pengfei, Zuo, Xinyu, Chen, Yubo, Liu, Kang, Zhao, Jun, Chen, Yuguang, Peng, Weihua. Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks. ACL 2021. 2021, 第 3 作者4862-4872, 
[26] Pengfei Cao, Yubo Chen, Yuqing Yang, Kang Liu, Jun Zhao. Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification. EMNLP 2021. 2021, 第 2 作者
[27] Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao. Distantly Supervised Relation Extraction in Federated Settings. EMNLP 2021. 2021, 第 2 作者
[28] Jin, Zhuoran, Chen, Yubo, Sui, Dianbo, Wang, Chenhao, Xue, Zhipeng, Zhao, Jun. CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet. ACL 2021 Demo. 2021, 第 2 作者92-98, 
[29] TONG ZHOU, Pengfei Cao, yubo chen, Kang Liu, Jun Zhao, niu kun, Weifeng Chong, Shengping Liu. Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism. ACL 2021. 2021, 第 3 作者
[30] Sui, Dianbo, Tian, Zhengkun, Chen, Yubo, Liu, Kang, Zhao, Jun. A Large-Scale Chinese Multimodal NER Dataset with Speech Clues. 59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (ACL-IJCNLP 2021), VOL 1[J]. 2021, 第 3 作者2807-2818, 
[31] xinyu zuo, PENGFEI CAO, yubo chen, Kang Liu, Zhao Jun, Peng, Weihua, Chen, Yuguang. Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement. ACL FINDINGS 2021. 2021, 第 3 作者
[32] dianbo sui, zhengkun tian, Chen Yubo, kang liu, jun zhao. A Large-Scale Chinese NER Dataset with Speech Clues.. ACL 2021. 2021, 第 3 作者
[33] Kang Liu, Yubo Chen, Jian Liu, Xinyu Zuo, Jun Zhao. Extracting Events and Their Relations from Texts: A Survey on Recent. AI Open[J]. 2021, 第 2 作者
[34] Dianbo Sui, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi. Set Generation Networks for End-to-End Knowledge Base Population. EMNLP 2021. 2021, 第 3 作者
[35] BO ZHOU, yubo chen, Kang Liu, jun zhao, jiexin xu, Xiaojian Jiang, Jinlong Li. Multi-Task Self-Supervised Learning for Script Event Prediction. CIKM 2021. 2021, 第 2 作者
[36] Pengfei Cao, xinyu zuo, yubo chen, Kang Liu, jun zhao, Wei Bi. Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction. CIKM-2021. 2021, 第 3 作者
[37] Hang Yang, yubo chen, Kang Liu, jun zhao, Taifeng Wang. Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. CIKM 2021. 2021, 第 2 作者
[38] Xiusheng Huang, yubo chen, Shun Wu, Zhao Jun, Yuantao Xie, Weijian Sun. Named Entity Recognition via Noise Aware Training Mechanism with Data Filter. ACL 2021 findings. 2021, 第 2 作者
[39] Hang Yang, 隋典伯, yubo chen, Kang Liu, Zhao Jun. Document-level Event Extraction via Parallel Prediction Networks. ACL 2021. 2021, 第 3 作者
[40] Zuo, Xinyu, Cao, Pengfei, Chen, Yubo, Liu, Kang, Zhao, Jun, Peng, Weihua, Chen, Yuguang. LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification. ACL 2021. 2021, 第 3 作者3558-3571, 
[41] zhen gan, 李筑聪, baoli zhang, Jing Wan, yubo chen, Kang Liu, jun zhao, Yafei Shi, Shengping Liu, 赵军. Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER. NLPCC. 2021, 第 5 作者
[42] baoli zhang, 李筑聪, zhen gan, yubo chen, Jing Wan, Kang Liu, jun zhao, Shengping Liu, Yafei Shi. CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset. EMNLP 2021 Demo. 2021, 第 4 作者
[43] Pei Chen, Kang Liu, yubo chen, Taifeng Wang, 赵军. Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents. EACL 2021. 2021, 第 3 作者
[44] Xiusheng Huang, yubo chen, Kang Liu, Yuantao Xie, Weijian Sun, 赵军. NSRL: Named Entity Recognition with Noisy Labels via Selective Review Learning. CCKS. 2021, 第 2 作者
[45] Jian Liu, Chen Yubo, Kang Liu, Wei Bi, Xiaojiang Liu. Event Extraction as Machine Reading Comprehension. EMNLP 2020. 2020, 第 2 作者
[46] Sui Dianbo, Chen Yubo, Mao Binjie, Qiu Delai, Liu Kang, Zhao Jun. Knowledge Guided Metric Learning for Few-Shot Text Classification. naacl 2020. 2020, 第 2 作者http://arxiv.org/abs/2004.01907.
[47] Cao, Pengfei, Yan, Chenwei, Fu, Xiangling, Chen, Yubo, Liu, Kang, Zhao, Jun, Liu, Shengping, Chong, Weifeng. Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes. 58TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2020): SYSTEM DEMONSTRATIONS. 2020, 第 4 作者294-301, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000563368700033.
[48] Pengfei Cao, yubo chen, Zhao Jun, Taifeng Wang. Incremental Event Detection via Knowledge Consolidation Networks. EMNLP 2020. 2020, 第 2 作者
[49] 李筑聪, baoli zhang, Chen, Yubo, Kang Liu, jun zhao, Shengping Liu. Multi-Specialty Domain Adaptation for Chinese Medical Named Entity Recognition. CCKS 2020(Best Paper Award). 2020, 第 3 作者
[50] 隋典伯, yubo chen, Zhao Jun, Yantao Jia, Yuantao Xie, Weijian Sun. FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction. EMNLP 2020. 2020, 第 2 作者
[51] Jian Liu, Chen, Yubo, Kang Liu, Yantao Jia, Zhicheng Sheng. How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization. EMNLP 2020 findings. 2020, 第 2 作者
[52] Zuo, Xinyu, Chen, Yubo, Liu, Kang, Zhao, Jun. Event Coreference Resolution via a Multi-loss Neural Network without Using Argument Information. SCIENCE CHINAInformationSciences(SClS)[J]. 2020, 第 2 作者  通讯作者  http://arxiv.org/abs/2009.10290.
[53] Pengfei Cao, yubo chen, Kang Liu, Zhao Jun, Shengping Liu, Weifeng Chong. HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics(ACL 2020). 2020, 第 2 作者
[54] Zuo, Xinyu, Chen, Yubo, liu kang, Zhao, Jun. Towards Causal Explanation Detection with Pyramid Salient-Aware Network. CCL 2020. 2020, 第 2 作者http://arxiv.org/abs/2009.10288.
[55] Jian Liu, yubo chen, Zhao Jun. Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations. IJCAI 2020. 2020, 第 2 作者
[56] Pengfei Cao, yubo chen, Kang Liu, jun zhao. Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism. China National Conference on Chinese Computational Linguistics (CCL 2020)[J]. 2020, 第 2 作者
[57] Hang Yang, yubo chen, Kang Liu, jun zhao. Meta learning for Event Argument Extraction via Domain-Specific Information Enhanced. CCKS. 2020, 第 2 作者
[58] Kang Liu, Yubo Chen, Jian Liu, Xinyu Zuo, Jun Zhao. Extracting event and their relations from texts: A survey on recent research progress and challenges. AI OPEN[J]. 2020, 第 2 作者1: 22-39, http://dx.doi.org/10.1016/j.aiopen.2021.02.004.
[59] Liu, Jian, Chen, Yubo, Liu, Kang, AAAI. Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 2019, 第 2 作者6754-6761, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000486572501036.
[60] Xinyu ZUO, Yubo CHEN, Kang LIU, Jun ZHAO. Event co-reference resolution via a multi-loss neural network without using argument information. SCIENCE CHINA INFORMATION SCIENCES[J]. 2019, 第 2 作者  通讯作者  62(11): 212101:1–212101:9, https://www.sciengine.com/doi/10.1007/s11432-018-9833-1.
[61] Zhou, Bo, Chen, Yubo, Liu, Kang, Zhao, Jun, Sun, M, Huang, X, Ji, H, Liu, Z, Liu, Y. Relation and Fact Type Supervised Knowledge Graph Embedding via Weighted Scores. CHINESE COMPUTATIONAL LINGUISTICS, CCL 2019. 2019, 第 2 作者11856: 258-267, http://dx.doi.org/10.1007/978-3-030-32381-3_21.
[62] Zhao Jun. Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network. EMNLP 2019. 2019, 
[63] Zhao Jun. Neural Cross-Lingual Event Detection with Minimal Parallel Resources. EMNLP 2019. 2019, 
[64] Zuo Xinyu, Chen Yubo, Liu Kang, Zhao Jun. Event co-reference resolution via a multi-loss neural network without using argument information. SCIENCE CHINA. INFORMATION SCIENCE[J]. 2019, 第 2 作者62(11): http://lib.cqvip.com/Qikan/Article/Detail?id=7003117171.
[65] 仲伟峰, 杨航, 陈玉博, 刘康, 赵军. 基于联合标注和全局推理的篇章级事件抽取. 中文信息学报[J]. 2019, 第 3 作者33(9): 88-95,106, http://lib.cqvip.com/Qikan/Article/Detail?id=7003056639.
[66] Xinyu ZUO, Yubo CHEN, Kang LIU, Jun ZHAO. Event co-reference resolution via a multi-loss neural net work without using argument information. 中国科学：信息科学（英文版）[J]. 2019, 第 2 作者  通讯作者  62(11): 27-35, http://lib.cqvip.com/Qikan/Article/Detail?id=7003117171.
[67] Chen Yubo. Adversarial Training for Relation Classification with Attention based Gate Mechanism. CCKS 2018. 2018, 第 1 作者
[68] Yang Hang, Chen Yubo, Liu Kang, Xiao Yang, Zhao Jun, Liu F, Solorio T. DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data. 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2018): PROCEEDINGS OF SYSTEM DEMONSTRATIONS. 2018, 第 2 作者50-55, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000493966800009.
[69] Liu Jian, Chen Yubo, Liu Kang, Zhao Jun. Event Detection via Gated Multilingual Attention Mechanism. 2018, 第 2 作者http://ir.ia.ac.cn/handle/173211/20627.
[70] Zhao Jun. Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms.. EMNLP2018（CCF B）. 2018, 
[71] Liu Jian, Chen Yubo, Liu Kang, Zhao Jun, AAAI. Event Detection via Gated Multilingual Attention Mechanism. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 2018, 第 2 作者4865-4872, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488904117.
[72] Zhao Jun. Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism.. EMNLP2018（CCF B）. 2018, 
[73] Liu Shulin, Chen Yubo, Liu Kang, Zhao Jun, Barzilay R, Kan MY. Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms. PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1. 2017, 第 2 作者1789-1798, http://dx.doi.org/10.18653/v1/P17-1164.
[74] Liu Shulin, Chen Yubo, Liu Kang, Zhao Jun, Luo Zhunchen, Luo Wei, Sun M, Wang X, Chang B, Xiong D. Improving Event Detection via Information Sharing Among Related Event Types. CHINESE COMPUTATIONAL LINGUISTICS AND NATURAL LANGUAGE PROCESSING BASED ON NATURALLY ANNOTATED BIG DATA, CCL 2017. 2017, 第 2 作者10565: 122-134, 
[75] Chen Yubo, Liu Shulin, Zhang Xiang, Liu Kang, Zhao Jun, Barzilay R, Kan MY. Automatically Labeled Data Generation for Large Scale Event Extraction. PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1. 2017, 第 1 作者409-419, http://dx.doi.org/10.18653/v1/P17-1038.
[76] Chen Yubo, Liu Kang, Liu Jian, Zhao Jun. Attention-based Event Relevance Model for Stock Price Movement Prediction. 2017, 第 1 作者http://ir.ia.ac.cn/handle/173211/20077.
[77] Chen Yubo, Liu Shulin, Zhang Xiang, Liu Kang, Zhao Jun. Automatically Labeled Data Generation for Large Scale Event Extraction. 2017, 第 1 作者http://ir.ia.ac.cn/handle/173211/14547.
[78] Jun Zhao, Kang Liu, Yubo Chen, Shulin Liu. Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms. 2017, 第 3 作者http://ir.ia.ac.cn/handle/173211/14522.
[79] Liu Shulin, Zhao Jun, Liu Kang, Chen Yubo. Improving Event Detection via Information Sharing among Related Event Types. 2017, 第 4 作者http://ir.ia.ac.cn/handle/173211/20076.
[80] Chen Yubo, He Shizhu, Liu Kang, Zhao Jun, Liu Shulin. Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks. 2016, 第 1 作者http://ir.ia.ac.cn/handle/173211/14549.
[81] Shulin Liu, Jun Zhao, Kang Liu, Shizhu He, Yubo Chen. Leveraging FrameNet to Improve Automatic Event Detection. 2016, 第 5 作者http://ir.ia.ac.cn/handle/173211/14520.
[82] 何世柱, 陈玉博, 刘康, 赵军, 吕学强. 融合多种特征的实体链接技术研究. 中文信息学报[J]. 2016, 第 2 作者30(4): 176-183, http://lib.cqvip.com/Qikan/Article/Detail?id=670405942.
[83] Liu Shulin, Chen Yubo, He Shizhu, Liu Kang, Zhao Jun, Erk K, Smith NA. Leveraging FrameNet to Improve Automatic Event Detection. PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1. 2016, 第 2 作者2134-2143, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000493806800201.
[84] Chen Yubo, Xu Liheng, Liu Kang, Zeng Daojian, Zhao Jun. Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks. 2015, 第 1 作者http://ir.ia.ac.cn/handle/173211/14546.
[85] Chen Yubo, Xu Liheng, Liu Kang, Zeng Daojian, Zhao Jun, Zong C, Strube M. Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks. PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1. 2015, 第 1 作者167-176, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000493808900017.
[86] Liu Kang, Zhao Jun, Zeng Daojian. Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks. 2015, http://ir.ia.ac.cn/handle/173211/20631.
[87] Liu Kang, Chen Yubo, Zeng Daojian, LV Xueqiang, Zhao Jun. Learning the Distinctive Pattern Space Features for Relation Extraction. 2014, 第 2 作者http://ir.ia.ac.cn/handle/173211/20638.
[88] Zhao Jun, Zhou Guangyou, Chen Yubo, He Shizhu, Liu Kang. The CASIA Entity linking System at TAC 2013. 2014, 第 3 作者http://ir.ia.ac.cn/handle/173211/14550.
[89] Chen Yubo. Group Non-negative Matrix Factorization with Natural Categories for Question Retrieval in Community Question Answer Archives. COLING 2014. 2014, 第 1 作者
[90] 赵军, 刘康, 陈玉博, 徐立恒, 来斯惟. 基于表示学习的中文分词算法探索. 中文信息学报[J]. 2013, 第 3 作者27(5): 8-14, http://lib.cqvip.com/Qikan/Article/Detail?id=47684350.
[91] Liu Kang. Walk and learn: A two-stage approach for opinion words and opinion targets co-extraction. INTERNATIONAL WORLD WIDE WEB CONFERENCE. 2013, 95-96, http://ir.ia.ac.cn/handle/173211/4785.
[92] Jun Zhao. Towards Faster and Better Retrieval Models for Question Search. INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (CIKM). 2013, 2139-2148, http://ir.ia.ac.cn/handle/173211/4790.
[93] Jun Zhao, Kang Liu, Shizhu He. CASIA@QALD-3: A Question Answering System over Linked Data. PRO-CEEDINGS OF THE CROSS-LANGUAGE EVALUATION FORUM. 2013, http://ir.ia.ac.cn/handle/173211/11553.
[94] Liu Kang. Mining opinion words and opinion targets in a two-stage framework. ANNUAL MEETING OF ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL). 2013, 1764-1773, http://ir.ia.ac.cn/handle/173211/4780.

《知识图谱》, Knowledge Graph, 高等教育出版社, 2018-12, 第 4 作者

《知识图谱：算法与实践》, Knowledge Graph：Algorithm and Practice, 高等教育出版社, 2022-3, 第 4 作者

   

（ 1 ） 面向非结构化文本的大规模事件信息抽取关键技术研究, 负责人, 国家任务, 2019-01--2021-12
（ 2 ） 知识获取与知识图谱, 负责人, 国家任务, 2019-01--2021-12
（ 3 ） 大规模多粒度军事知识体系构建与集成平台, 参与, 中国科学院计划, 2020-11--2025-11
（ 4 ） 面向军事博弈的知识体系 构建与服务平台, 负责人, 研究所自选, 2021-04--2023-04
（ 5 ） 以自然语言为核心的语义理解研究, 参与, 国家任务, 2020-11--2023-10
（ 6 ） 面向抑郁症智能诊疗的可解释对话系统研究, 参与, 中国科学院计划, 2020-01--2022-12
（ 7 ） 面向案件审判全流程的智能问答技术及平台, 参与, 国家任务, 2018-07--2021-06
（ 8 ） 知识关联与事件推理类问题求解关键技术与系统, 参与, 国家任务, 2019-05--2022-04
（ 9 ） 大规模知识关联和文本语义计算方法及应用验证, 参与, 国家任务, 2016-01--2020-12
（ 10 ） 建设《中国大百科全书》第三版百科知识图谱, 参与, 企业委托, 2017-12--2018-12
（ 11 ） 知识图谱自动构建技术合作项目, 参与, 企业委托, 2017-07--2019-08
（ 12 ） 症状知识图谱的构建及应用, 参与, 企业委托, 2018-09--2020-11
（ 13 ） 金融知识图谱和问答系统, 参与, 企业委托, 2016-12--2019-12
（ 14 ） 面向对话文本的事件知识抽取关键技术研究, 负责人, 企业委托, 2019-01--2021-12
（ 15 ） 事件图谱构建与应用关键技术研究, 负责人, 企业委托, 2020-03--2021-03
（ 16 ） 面向复杂应用场景的事件知识抽取关键技术研究, 负责人, 国家任务, 2022-01--2025-12
（ 17 ） 中科院青促会项目, 负责人, 中国科学院计划, 2022-01--2025-12

（1）Knowledge Analysis, Extraction and Enhancement in Pre-trained Language Models   2023-10-12
（2）预训练语言模型中的知识分析、萃取和增强   第二十二届全国计算语言学大会(CCL 2023)   2023-08-03
（3）信息抽取前沿技术综述   第十八届中国计算语言学大会（CCL 2019）   2019-10-18
（4）Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms   2018-11-04
（5） Automatically Labeled Data Generation for Large Scale Event Extraction   2017-07-30
（6）Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks   2016-10-14
（7）Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks   2015-07-26

   

华为

云知声

蚂蚁金服

阿里巴巴

Baidu

Tecent

中国大百科出版集团

已毕业学生：

刘健  博士研究生 （毕业去向：北京交通大学）

左新宇 博士研究生 （毕业去向：腾讯）

何霖 硕士研究生（毕业去向：京东）

隋典伯 博士研究生（毕业去向：哈尔滨工业大学（威海））

李筑聪 硕士研究生（毕业去向：复旦攻读博士学位）

杨航 博士研究生（毕业去向：百度）

曹鹏飞 博士研究生（毕业去向：中科院自动化所）

周波 博士研究生（毕业去向：华为）

黄修胜  硕士研究生（毕业去向：北京智源人工智能研究院攻读博士学位）

王晨皓  博士研究生（毕业去向：腾讯）
付佳   硕士研究生（毕业去向：快手）

谢海宁   硕士研究生（毕业去向：腾讯）

在读学生：

周阳     博士研究生

李嘉淳  博士研究生

门天逸 博士研究生

苑红榜  硕士研究生

秦晓彤 硕士研究生

陈宇恒 硕士研究生

杜鹏帆 硕士研究生

张晨龙 硕士研究生

谢甲宽 直博生

郝煜朴 博士研究生

常傲   硕士研究生

金承远  硕士研究生

实习生：

沈佳俊  （中国科学院大学）

何开煜 （北京科技大学）

周桐   （北京邮电大学，实习已结束，留组工作）

张保礼 （北京邮电大学，实习已结束，留组工作）

罗坤  （北京科技大学，实习已结束，北京智源人工智能研究院攻读博士学位）

闫晨薇  （北京邮电大学，实习已结束，推免北邮博士）
蔡硕玮 （华南理工大学，实习已结束，香港科大攻读硕士）

吴顺 （北京交通大学，实习已结束，留组工作）

薛智朋 （北京交通大学，实习已结束，留组工作）

杨语晴 （中国科学院大学，实习已结束，保送复旦大学）

周宇洋  （北京邮电大学，实习已结束，香港攻读博士学位）

干震   （北京化工大学，实习已结束，滴滴）