Professor

Research Group of Speech and Language Technology,
National Laboratory of Pattern Recognition,
Institute of Automation, Chinese Academy of Sciences
Office: Room 703, Intelligence Building, Institute of Automation, Chinese Academy of Sciences, Zhongguancun East Road 95#, Beijing, China, 100190
Email: jzhao(at)nlpr(dot)ia(dot)ac(dot)cn

Bio

Dr Zhao Jun is a professor at the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. He received his PhD degree from Tsinghua University in 1998. Before joining NLPR in 2002, he worked in the Hong Kong University of Science and Technology as a postdoctoral research fellow. His current research focuses on natural language processing, information extraction and question answering. Prof Zhao has published over 50 peer-reviewed papers in the prestigious conferences and journals, including ACL, SIGIR, TKDE, JLMR, IJCAI, EMNLP, etc. His paper “Relation Classification via Convolutional Deep Neural Network” obtained best paper award of COLING-2014. His paper “Collective entity linking in web text: a graph-based method” ranks 2 in the highest referenced papers of SIGIR in recent five years with the Google academic search. He also served as workshop cochair for ACL-2016.

Research Interest

  • Natural language processing
  • Computational Semantics; Deep Learning for NLP
  • Information Extraction and Knowledge Graph
  • Entity Recognition; Entity Disambiguation; Relation Extraction; Event Extraction;
    Knowledge Graph Embedding; Link Prediction on Knowledge Graph
  • Question Answering
  • Question Answering over Linked Data; Question Answering over Texts; Machine Comprehension; Community Question Answering

We have one paper accepted by SIGIR 2019.Latest


We have two papers accepted by AAAI 2019.


We have two papers accepted by ACL 2018.


We have two papers accepted by EMNLP 2018.


We have one paper accepted by IJCAI 2018.


We have one paper accepted by CIKM 2018.


We have five papers accepted by ACL 2017.


We have three papers accepted on COLING 2014 and “Relation Classification via Convolutional Deep Neural Network” is selected as the Best Paper.