Can AI Really Understand Scientific Novelty? Insights from a New Benchmark
Chengzhi Zhang is a professor at iSchool of Nanjing University of Science and Technology NJUST. He received PhD degree of Information Science from Nanjing University, China. He has published more than 100 publications, including JASIST, IPM, Aslib JIM, JOI, OIR, SCIM, ACL, EMNLP, NAACL, etc. He serves as Editorial Board Member and Managing Guest Editor for 10 international journals Patterns, IPM, OIR, Aslib JIM, TEL, IDD, NLE, JDIS, DIM, DI, etc. and PC members of several international conferences ACL, IJCAI, EMNLP, NAACL, AACL, IJCNLP, NLPCC, ASIS&T, JCDL, iConference, ISSI, etc. in fields of natural language process and scientometrics. His research fields include information retrieval, information organization, text mining and nature language processing. Currently. He is focusing on scientific text mining, knowledge entity extraction and evaluation, social media mining. He was a visiting scholar in the School of Computing and Information at the University of Pittsburgh and in the Department of Linguistics and Translation at the City University of Hong Kong.