Automatic Classification of Academic Papers Based on Mixed Model of Prompt Learning
The classification of academic papers is of great significance in knowledge management,academic exchange,research orientation,and academic evaluation.This paper builds an automatic classification system for academic papers based on a deep learning model.Compared with existing text classification methods,this system integrates the idea of prompt learning and better bridges the gap between the pre-training model and downstream tasks.The results show that this system can better improve text classification performance and standardization level,and provides better ways for researchers to manage,utilize,and mine information.
国家科技期刊平台
NSTL
万方数据
维普
