Invited Talk: Natural Language Processing and Reasoning
Event Menu
IEEE Vehicular Technology Society (VTS) New Zealand North Chapter and IEEE New Zealand North Section SIGHT Group invite you to attend:
Natural Language Processing and Reasoning
Presented by Ph.D. Candidate Qiming Bao
Strong AI Lab & LIU AI Lab, School of Computer Science, The University of Auckland
Time: 12 p.m. (NZST and FJT) vs. 1 p.m. (TOT), Tuesday, 30th August 2022
Join via Zoom: https://aut.zoom.us/j/
Abstract:
Natural language processing is an important direction in computer science and artificial intelligence. It studies various theories and methods enabling effective communication using natural language between humans and computers. Natural language is a science that combines linguistics, computer science, and mathematics. Natural language processing involves natural language, that is, the language that people use every day, so it is closely related to the study of linguistics, but it is very different. Natural language processing is not the general study of natural language but the study of computer systems, especially software systems and algorithms, that can effectively realize natural language communication. Natural language processing has many application scenarios, including machine translation, automatic summarization, text classification, question answering, text semantic comparison, etc.
Reasoning requires understanding existing information to obtain unknown information. There are generally three different reasoning, deductive reasoning, inductive reasoning and abductive reasoning. Deductive reasoning uses rules and premises to derive conclusions. Inductive reasoning determines rules based on premises and conclusions. Abductive reasoning is determined by the conclusion and rules to determine the premises. In the case of natural language reasoning, all premises, rules and conclusions are described by natural language. Current natural language reasoning usually considers designing a computer system or building a model that can learn and handle tasks that requires reasoning. On the other hand, it is exploring how to automatically generate natural language reasoning datasets to enrich the corpus for model learning.
In this talk, I will present the history and background knowledge of natural language processing and reasoning and give some examples or application scenarios. I may also introduce some of my current research and introduction of our research groups.
Biography:
Qiming Bao is a Ph.D. candidate at the Strong AI Lab & LIU AI Lab, School of Computer Science, The University of Auckland, New Zealand. His supervisors are Professor Michael Witbrock and Dr Jiamou Liu. His research interests include natural language processing and reasoning. He had more than two years of research and development experience. He had published several top conferences in AI/NLP/Reasoning fields including AAAI/EAAI, ACL, IJCLR and other conferences and journals.
Research Groups:
Strong AI Lab at The University of Auckland: https://www.ai.ac.nz/sail/
LIU AI Lab at The University of Auckland: https://www.liuailab.org/