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Kang Liu received the Ph. D. degree in computer science from Institute of Automation, Chinese Academy of Sciences, China in 2010. He is a professor at the Institute of Automation, Chinese Academy of Sciences, China. He has published over 80 research papers in top-tier conferences and journals, like ACL, AAAI, EMNLP, COLING, etc. His work has 18000+ citations on Google Scholar and his h-index is 54. He received the Best Paper Award at COLING-2014, the Google Focused Research Award (2015, 2016), and the Beijing Science and Technology Progress First Prize, etc. His research has been supported by the National Natural Science Foundation of China’s Outstanding Youth Fund, the Chinese Academy of Sciences’ Leading Special Project, and the Ministry of Science and Technology’s 2030 Major Project. He also served as SAC/AC/Senior PC of several top-tier NLP and AI conferences.
His research interests include natural language processing, information extraction, question answering and knowledge graphs.
Yangqiu Song received the B. Eng. degree in automation and Ph. D. degree in control theory and engineering from Tsinghua University, China in 2003 and 2009, respectively. He is an associate professor at Hongkong University of Science and Technology (HKUST), China. Before that, he was an assistant professor at West Virginia University, USA (2015–2016), a post-doctoral researcher at the Cognitive Computation Group at University of Illinois Urbana-Champaign, USA (2013–2015), a post-doctoral fellow at HKUST (2012–2013), an associate researcher at Microsoft Research Asia, China (2010–2012) and a staff researcher at IBM Research China (2009–2010).
His research is to use machine learning and data mining to extract and infer insightful knowledge from big data. The knowledge helps users better enjoy their daily living and social activities or helps data scientists do better data analytics. He is particularly interested in machine learning, data mining, natural language processing, and knowledge graph related research.
Jeff Z. Pan received the Ph.D. degree in computer science from The University of Manchester, UK. He is a chair of the Knowledge Graphs Group at the Alan Turing Institute, a member of ILCC at the School of Informatics, The University of Edinburgh, UK. He led the development of the award-wining TrOWL approximate knowledge graph reasoner, which is one of the top three OWL 2 DL reasoners in the sound and complete Ontology Reasoner Evaluation (ORE2014). He was the Chief Scientist of the EU Marie-Curie K-Drive project. He is the Chief Editor of the first book on Knowledge Graph: Exploiting Linked Data and Knowledge Graphs in Large Organisations. He is an Associate Editor of Transactions on Graph Data and Knowledge (TGDK) and a Programme Chair of the 19th International Semantic Web Conference (ISWC 2020), the premier international forum for the Semantic Web and Knowledge Graph. p His research focuses primarily on knowledge computing and artificial intelligence, in particular on knowledge based learning and reasoning, and knowledge based natural language understanding and generations, as well as their applications.
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Liu, K., Song, Y. & Pan, J.Z. Editorial for Special Issue on Commonsense Knowledge and Reasoning: Representation, Acquisition and Applications. Mach. Intell. Res. 21, 215–216 (2024). https://doi.org/10.1007/s11633-024-1397-4
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DOI: https://doi.org/10.1007/s11633-024-1397-4