FrameSum: Leveraging Framing Theory and Deep Learning for Enhanced News Text Summarization

Zhang Xin, M.D., is a teacher at the School of Computer and Cyber Sciences at the Communication University of China. She is also a senior engineer and a member of the Media Information Technology Institute research team. Her research interests include computer vision, deep learning, natural language processing, blockchain, and more. Currently, she is involved in the "Research and Application of Key Technologies for Human-Machine Interaction in Government Affairs Based on Personification" project, which is part of the "New Generation of Artificial Intelligence" major project under the Science and Technology Innovation 2030 initiative. She has led and participated in dozens of scientific research and teaching reform projects and has published over 10 academic papers and 2 academic works.

QiYi Wei: 1. Bachelor's Degree (September 2020–July 2024) from the School of Computer and Cyberspace Security, Communication University of China, and successfully recommended for a master's degree in the same institution. Served as the class monitor for the Computer Science and Technology program during the undergraduate period. 2. Focused on research areas such as natural language text summarization and sentiment analysis. Participated in the "2030 Science and Technology Innovation – Key Technologies for Anthropomorphic Human-Computer Interaction in Government Affairs" major project under the "New Generation Artificial Intelligence" initiative at the Media Information Technology Institute. Contributed to the publication of one SCI paper, one ESCI journal paper, and two EI conference papers.3. During the undergraduate period, received the titles of "Outstanding Student," "Excellent Class Leader," and "Excellent League Leader" at the Communication University of China. Awarded the second-class scholarship and the single-item scholarship at the Communication University of China. The undergraduate thesis project won the university-level Excellent Graduation Design award. Also, won second prize in the American (International) Mathematical Contest in Modeling, second prize in the HUA Numerics Cup Mathematical Modeling Contest, and received two municipal-level grants for the College Student Innovation and Entrepreneurship Training Program.

Bin Zheng: 1. Bachelor's Degree (September 2020–July 2024) from the School of Computer and Cyberspace Security, Communication University of China, and qualified for a master's degree at the University of Electronic Science and Technology of China. Served as the class monitor for the Data Science and Big Data Technology program during the undergraduate period. 2. Focused on research areas such as natural language text summarization and sentiment analysis. Participated in the "2030 Science and Technology Innovation – Key Technologies for Anthropomorphic Human-Computer Interaction in Government Affairs" major project under the "New Generation Artificial Intelligence" initiative at the Media Information Technology Institute. Contributed to the publication of one EI conference paper. 3. During the undergraduate period, received the title of "Outstanding Student" at the Communication University of China. Awarded the third-class scholarship and the single-item scholarship at the Communication University of China. Also won third prize in the China Statistical Modeling Contest.

Jiefeng Liu, senior engineer, is a teacher at the School of Computer and Cyber Sciences at the Communication University of China. With many years of experience in media practice education and teaching, he has recently engaged in research work in artificial intelligence and natural language processing. He has led multiple high-standard engineering projects and teaching research projects, participated in nearly 10 scientific research studies, published three monographs, and authored over ten academic papers.

Zhang Pengzhou, PhD, is the dean of the Internet Information Research Institute and a professor and doctoral supervisor at the State Key Laboratory of Media Convergence and Communication at the Communication University of China. He has long been engaged in research on artificial intelligence and its application in digital multimedia, data journalism, etc. As a project leader or core member, he has undertaken more than 10 national-level projects, and he has won the Second Prize of the Beijing Science and Technology Progress Award, the Second Prize of the Science and Technology Innovation Award of the State Administration of Radio, Film and Television, the Third Prize of the Chengdu Science and Technology Progress Award, and the Third Prize of the China Film and Television Technology Society. In the past five years, he has completed the national project "R&D and Application Demonstration of Rich Media Public Contribution Platform under Complex Network Environment" and the Beijing project "R&D and Demonstration Application of Chinese News Automatic Writing System Based on Brain-Like Knowledge Graph", hosted two national standards, participated in the formulation of one international standard, applied for two patents, and published more than 20 papers in domestic and foreign academic journals and conferences.