Expert Lecture at College of Foreign Languages: ChatGPT and Natural Language Processing

Date: Thursday, April 27, 2023, 16:00

Location: Lecture Hall of the College of Foreign Languages (Foreign Languages Building 124)

Abstract of the lecture:

In this presentation, an overview of chat GPT, basic techniques, development history and trends will be introduced. The report is divided into four parts. In the first part, the actual interaction cases of chat GPT and the qualitative analysis of intelligence from the perspective of artificial intelligence research will be shown. In the second part, the three main techniques behind the model, generative pre-training, attention-to-network and human-in-closed-loop reinforcement learning, will be introduced in a popular science way. In the third section, the history of Open AI and a look at the history of natural language processing will be presented to explore the key factors in the development of the technology. In the fourth part, current trends and the possible social impact of the applications will be discussed.

Lecturer Profile:

Yue Zhang, graduated from Tsinghua University with a B.S. degree in Computer Science in 2003, graduated from Oxford University with an M.S. degree in Computer Science in 2006, and graduated from Oxford University with a Ph.D. degree in Computer Science in 2009. worked as a postdoctoral researcher in Computer Science at Cambridge University from March 2010 to June 2012, and from July 2012 to Assistant Professor at University of Technology and Design, Singapore, August 2018. tenured Associate Professor at Westlake University from September 2018 to June 2022. Currently, he is a tenured professor at Westlake University.

His main research areas are natural language processing, text mining, machine learning and artificial intelligence, with specific research interests including:

1. lexical, syntactic and semantic representation in basic natural language processing in Chinese and English, analysis.

2. Entity, relationship, event and sentiment extraction in information extraction.

3. Text mining in finance, biomedical and literary fields.

4. Natural language generation and its application in text summarization and machine translation.