基本信息

刘康  男  博导  中国科学院自动化研究所
电子邮件: kliu@nlpr.ia.ac.cn
通信地址: 北京市海淀区中关村东路95号
邮政编码: 100190


个人主页:http://www.nlpr.ia.ac.cn/cip/~liukang/index.html

个人介绍:刘康,中国科学院自动化研究所模式识别国家重点实验室研究员、博士生导师,中国科学院大学岗位教授。研究领域包括自然语言处理、文本信息抽取、知识图谱、问答系统等。在自然语言处理、知识工程等领域国际重要会议和期刊发表多篇学术论文,Google Scholar引用一万余次。曾获COLING 2014最佳论文奖、Google Focused Research Award、中国中文信息学会“汉王青年创新一等奖”、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、北京市科学技术进步一等奖等多项学术奖励。获得国家自然科学基金委优秀青年基金支持。目前兼任北京智源人工智能研究院青年科学家、Pattern Recognition期刊的Associte Editor、中国中文信息学会语言与知识计算专委会秘书长等学术职务,也曾任ACL、EMNLP、CIKM、ISWC、EACL等国际高水平学术会议(Senior)Area Chair/Senior PC member。

研究领域

自然语言处理、文本信息抽取与知识图谱

大规模知识获取、实体抽取、关系抽取、事件及事件关系抽取、常识知识学习

问答系统、信息检索

面向知识图谱的问答系统、文本阅读理解、机器自动答题

机器学习

神经符号学习、神经网络的可解释方法

招生信息

   
招生专业
081203-计算机应用技术
081104-模式识别与智能系统
招生方向
自然语言处理,信息抽取,知识图谱,问答系统,信息检索
机器学习,深度学习

教育背景

2006-09--2010-07   中国科学院自动化研究所   博士
2002-09--2005-04   西安电子科技大学   硕士
1998-09--2002-07   西安电子科技大学   学士

工作经历


工作简历
2019-11~现在, 中国科学院自动化研究所, 研究员
2014-11~2019-10,中国科学院自动化研究所, 副研究员
2010-07~2014-10,中国科学院自动化研究所, 助理研究员
社会兼职
2021-02-02-今,Pattern Recognition, Associate Editor
2018-05-04-2020-10-26,中国中文信息学会青年工作委员会, 主任
2017-08-31-今,中国中文信息学会语言与知识计算专委会, 秘书长

教授课程

信息检索
知识图谱与语义计算
知识图谱导论
深度学习下的自然语言处理:理论与实践

专利与奖励

   
奖励信息
(1) 中国科学院青年促进会优秀会员, 特等奖, 院级, 2020
(2) 北京市科学技术进步奖, 一等奖, 省级, 2019
(3) 钱伟长中文信息处理科学技术奖, 一等奖, 部委级, 2018
(4) Google Focused Research Award, 其他, 2016
(5) Google Focused Research Award, , 其他, 2015
(6) 钱伟长中文信息处理科学技术奖-汉王青年创新奖, 一等奖, 其他, 2014
(7) COLING 2014 Best Paper Award, 特等奖, 其他, 2014
(8) 首届“CCF-腾讯犀牛鸟”基金卓越奖, 特等奖, 其他, 2014
专利成果
( 1 ) 信息处理方法及装置, 发明, 2014, 第 1 作者, 专利号: 201410271542.2
( 2 ) 一种借助图随机游走的开放类别命名实体抽取方法及装置, 发明, 2013, 第 1 作者, 专利号: 201310745097.4
( 3 ) 一种基于网络语义标签的多源知识库实体对齐方法和系统, 发明, 2015, 第 1 作者, 专利号: 201510150011.2
( 4 ) 基于概率软逻辑PSL的事件识别方法和系统, 发明, 2015, 第 1 作者, 专利号: 201510250005.4
( 5 ) 知识库中问句解析的方法及设备, 发明, 2014, 第 2 作者, 专利号: 201410513189.4
( 6 ) 一种基于循环卷积网络的文本分类方法, 发明, 2014, 第 2 作者, 专利号: 2014108178568
( 7 ) 基于多知识库和整数线性规划ILP的自动问答方法和系统, 发明, 2015, 第 1 作者, 专利号: 2015102089781

科研活动

   
科研项目
( 1 ) 知识关联与推理类问题求解关键技术及系统, 主持, 国家级, 2015-01--2018-06
( 2 ) Representing and Reasoning Knowledge by Jointly Learning on Knowledge Graphs, Textual Triples and Unstructured Texts, 主持, 院级, 2015-10--2016-10
( 3 ) 基于大规模知识图谱的文本语义分析、知识图谱补全与验证, 主持, 院级, 2015-06--2016-06
( 4 ) 跨语言QA系统的研究开发, 主持, 院级, 2015-06--2015-12
( 5 ) 互联网环境下中文实体知识挖掘关键技术研究, 主持, 国家级, 2013-01--2015-12
( 6 ) 面向问答场景意图识别系统的语义相似度计算, 主持, 院级, 2017-06--2018-12
( 7 ) 面向客服聊天记录质检的问答对齐研究, 主持, 院级, 2018-08--2020-08
( 8 ) 面向智能客服的自然问答关键技术研究, 主持, 市地级, 2018-05--2019-12
( 9 ) Cross-lingual Text and Knowledge Graph Jointly Embeddings, 主持, 院级, 2016-12--2020-06
( 10 ) 青促会专项, 主持, 市地级, 2016-01--2020-06
( 11 ) 面向开放领域的关系抽取技术研究, 主持, 研究所(学校), 2016-07--2018-01
( 12 ) 产品知识库构建关键技术研究, 主持, 国家级, 2016-01--2019-06
( 13 ) 面向生活垂直领域的精准问答关键技术研究, 主持, 院级, 2013-10--2015-04
( 14 ) 面向大规模开放域知识库的深度问答关键技术研究, 主持, 院级, 2015-10--2017-06
( 15 ) 面向案件审判执行全流程的智能问答技术及平台, 主持, 国家级, 2018-08--2021-07
( 16 ) 知识关联与事件推理类问题求解关键技术与系统, 主持, 国家级, 2019-04--2022-04
( 17 ) 信息抽取与问答系统, 主持, 国家级, 2020-01--2022-12
( 18 ) 面向抑郁症智能诊疗的可解释对话系统研究, 主持, 部委级, 2020-01--2022-12
( 19 ) 事件图谱构建与应用关键技术, 主持, 院级, 2020-03--2021-03
( 20 ) 基于图机器学习的电力运检领域知识发现与推理决策关键技术研究及应用, 主持, 院级, 2020-09--2023-09

指导学生

已指导学生

周波  硕士研究生  081104-模式识别与智能系统  

李泽政  硕士研究生  081203-计算机应用技术  

宋挺  硕士研究生  085211-计算机技术  

郭展成  硕士研究生  085211-计算机技术  

现指导学生

江忠涛  硕士研究生  081203-计算机应用技术  

兰胤余  硕士研究生  085211-计算机技术  

朱冲  硕士研究生  085211-计算机技术  

杨朝  硕士研究生  081203-计算机应用技术  

许豹  硕士研究生  085400-电子信息  

孙润鑫  硕士研究生  081203-计算机应用技术  

孙望涛  硕士研究生  081104-模式识别与智能系统  

杨朝  博士研究生  081203-计算机应用技术  

毕业生去向

周波   硕士研究生  自动化所继续读博

李泽政  硕士研究生  百度

宋挺  硕士研究生  美团

郭展成  硕士研究生  搜狗

发表文章

  • Jian Liu, Yubo Chen, Kang Liu, Wei Bi and Xiaojiang Liu, How Does Context Matter? Event Extraction as Machine Reading Comprehension, in Proceedings of EMNLP 2020, Online, November 16-20. 
  • Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia and Zhicheng Sheng, Scene Restoring for Narrative Machine Reading Comprehension, in Findings of the Association for Computational Linguistics: EMNLP 2020, Online, November 16-20. 
  • Jian Liu, Yubo Chen, Kang Liu, Yantao Jia, Zhicheng Sheng, How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization, in Findings of the Association for Computational Linguistics: EMNLP 2020, Online, November 16-20. 
  • Zhixing Tian, Yuanzhe Zhang, Xinwei Feng, Wenbin Jiang, Yajuan Lyu, Kang Liu and Jun Zhao, Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding, in Proceedings of AAAI 2020, New York, NY, USA, February 7–12. 
  • Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu and Weifeng Chong. HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding, in Proceedings of ACL 2020, Seattle, USA, July 5-10. 
  • Pengfei Cao, Chenwei Yan, Xiangyu Fu, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu and Weifeng Chong, Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes, in Proceedings of ACL 2020, Seattle, USA, July 5-10. 
  • Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu and Jun Zhao. MIE: A Medical Information Extractor towards Medical Dialogues, in Proceedings of ACL 2020, Seattle, USA, July 5-10.
  • Xiangrong Zeng, Shizhu Hu, Daojian Zeng, Kang Liu, Shengping Liu and Jun Zhao, Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning, in Proceedings of EMNLP 2019, HongKong, China, November 3–7. 
  • Jian Liu, Yubo Chen, Kang Liu and Jun Zhao, Neural Cross-Lingual Event Detection with Minimal Parallel Resources, in Proceedings of EMNLP 2019, HongKong, China, November 3–7. 
  • Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie and Jun Zhao, Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss, in Proceedings of EMNLP 2019, HongKong, China, November 3–7. 
  • Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao and Shengping Liu, Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network, in Proceedings of EMNLP 2019, HongKong, China, November 3–7. 
  • Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu and Jun Zhao, Machine Reading Comprehension Using Structural Knowledge Graph-aware Network, in Proceedings of EMNLP 2019, HongKong, China, November 3–7. 
  • Cao Liu, Shizhu Hu, Kang Liu and Jun Zhao, Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation, in Proceedings of ACL 2019, Florence, Italy, July 28-August 2. 
  • Xiang Zhang, Shizhu He, Kang Liu and Jun Zhao, AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing, in Proceedings of ACL 2019, Florence, Italy, July 28-August 2. 
  • Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Zhixing Tian, Kang Liu and Jun Zhao, Document Gated Reader for Open Domain Question Answering, in Proceedings of SIGIR 2019, Paris, France, July 21-25.
  • Shizhu He, Kang Liu and Weiting An, Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks, in Proceedings of AAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1.
  • Xiangrong Zeng, Shizhu He, 
  • Kang Liu
  •  and Jun Zhao, Large Scaled Relation Extraction with Reinforcement Learning, in Proceedings of AAAI 2018, Louisiana, New Orleans, USA, February 2-7. 
  • Jian Liu, Yubo Chen, Kang Liu and Jun Zhao, Event Detection via Gated Multilingual Attention Mechanism, in Proceedings of AAAI 2018, Louisiana, New Orleans, USA, February 2-7. 
  • Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu and Jun Zhao, Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism, in Proceedings of ACL 2018, Melbourne, Australia, July 15-20. 
  • Hang Yang, Yubo Chen, Kang Liu, Yang Xiao and Jun Zhao, DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data, in Proceedings of ACL 2018, Melbourne, Australia, July 15-20. 
  • Cao Liu, Shizhu He, Kang Liu and Jun Zhao, Curriculum Learning for Natural Answer Generation, in Proceedings of IJCAI-ECAI 2018, Stockholm, Sweden, July 13-19. 
  • Guoliang Ji, Kang Liu, Shizhu He and Jun Zhao, Knowledge Graph Completion with Adaptive Sparse Transfer Matrix, in Proceedings of AAAI 2016, Phoenix, USA, Phoenix, 12-17. 
  • Shulin liu, Kang Liu, Shizhu He and Jun Zhao, A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification, in Proceedings of AAAI 2016, Phoenix, USA, Phoenix, 12-17 
  • Yuanzhe Zhang, Shizhu He, Kang Liu and Jun Zhao, A Joint Model for Question Answering over Multiple Knowledge Bases, in Proceedings of AAAI 2016, Phoenix, USA, Phoenix, 12-17。
  • Daojian Zeng, Kang Liu, Yubo Chen and Jun Zhao, Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks, in Proceedings of EMNLP 2015, Lisbon, Portugal, September, 17-21. 
  • Kang Liu, Jun Zhao, Shizhu He and Yuanzhe Zhang, Questiong Answering over Knoweldge Base, a Nature Language Processing Special Issue in IEEE Transaction on Intelligent Systems, pp. 1541-1672.
  • Shizhu He, Kang Liu and Jun Zhao, Learning to Represent Knowledge Graphs with Gaussian Embedding, in Proceedings of CIKM 2015, Melbourne, Astralia, October, 19-23. 
  • Zhuoyu Wei, Jun Zhao, Kang Liu, Zhenyu Qi and Guanhua Tian, Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances, in Proceedings of CIKM 2015, Melbourne, Astralia, October, 19-23. 
  • Linlin Wang, Kang Liu, Zhu Cao, Jun Zhao and Gerard de Melo, Sentiment-Aspect Extraction based on Restricted Boltzmann Machines, in Proceedings of ACL-IJCNLP 2015, Beijing, China, July, 26-29. 
  • Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu and Jun Zhao, Knowledge Graph Embedding via Dynamic Mapping Matrix, in Proceedings of ACL-IJCNLP 2015, Beijing, China, July, 26-29. 
  • Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng and Jun Zhao, Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks, in Proceedings of ACL-IJCNLP 2015, Beijing, China, July, 26-29.
  • Siwei Lai, Liheng Xu, Kang Liu and Jun Zhao, Recurrent Convolutional Neural Networks for Text Classification, in Proceedings of AAAI 2015, Austin Texas, USA, January, 25-23. 
  • Shizhu He, Kang Liu, Yuanzhe Zhang and Jun Zhao, Questioning Answering over Linked Data Using Markov First-order Logic, in Proceedings of EMNLP 2014, Doha, Qatar, October, 25-29.
  • Kang Liu, Liheng Xu and Jun Zhao, Co-extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model, IEEE Transaction on Knowledge and Data Engineering (TKDE), VOL. 27, Issue No. 03 pp. 636-650. 
  • Kang Liu, Liheng Xu and Jun Zhao, Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking, in Proceedings of ACL 2014, Baltimore, USA, June 22-27. 
  • Liheng Xu, Kang Liu, Siwei Lai and Jun Zhao, Product Feature Mining: Semantic Clues versus Syntactic Constituents, in Proceedings of ACL 2014, Baltimore, USA, June 22-27. 
  • Liheng Xu, Kang Liu and Jun Zhao, Joint Opinion Relation Detection Using One-Class Deep Neural Network, in Proceedings of COLING 2014, Dublin, Ireland, August, 23-29. 
  • Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou and Jun Zhao, Relation Classification via Convolutional Deep Neural Network, in Proceedings of COLING 2014, Dublin, Ireland, August, 23-29. Best Paper Award 
  • Yang Liu, Kang Liu, Liheng Xu and Jun Zhao, Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction, in Proceedings of COLING 2014, Dublin, Ireland, August, 23-29. 
  • Shizhu He, Yuanzhe Zhang, Kang Liu and Jun Zhao, CASIA@V2: A MLN-based Question Answering System over Linked Data, in Proceedings of the fourth workshop on question answering over linked data (QALD-4) in CLEF 2014, Sheffield, UK, September, 15-18.