计算机应用与软件2025，Vol.42Issue(4)：27-32,6.DOI:10.3969/j.issn.1000-386x.2025.04.005
基于电力营业厅等场所的课程学习策略
CURRICULUM LEARNING STRATEGIES BASED ON POWER SERVICE CENTERS AND SIMILAR VENUES
摘要
Abstract
The core task of places such as power sales offices is to recognize the user's intention,and current intention recognition methods require a large amount of data to assist in model training.But for these places,it is very difficult to collect data on a large scale.Therefore,it is very important to utilize the training samples efficiently based on the limited number of samples in the dataset.In summary,this paper proposes a semantic distance-based curriculum learning strategy for the task of electric power intent recognition,which can train and learn the samples more efficiently.The experimental results show that the curriculum learning strategy can significantly improve the recognition accuracy of the business on the task of electricity business hall intention recognition.关键词
自然语言处理/深度学习意图识别/电力营业厅/课程学习Key words
Natural language processing/Deep learning/Intention recognition/Electric power supply offices/Curriculum learning分类
信息技术与安全科学引用本文复制引用
李晨光,张波,赵骞,陈小平..基于电力营业厅等场所的课程学习策略[J].计算机应用与软件,2025,42(4):27-32,6.基金项目
国家自然科学基金项目(92048301) （92048301）
安徽省电力有限公司科技项目(52120018004x). （52120018004x）
