计算机与现代化Issue(8)：26-34,9.DOI:10.3969/j.issn.1006-2475.2026.08.004
面向文本摘要的基于分段权重与语义覆盖率的主动学习方法
An Active Learning Method for Text Summarization Based on Segment Weighting and Semantic Coverage
摘要
Abstract
In recent years,with the increasing demand for high-quality annotated data for text summarization tasks,active learn-ing,as a method to reduce annotation costs,has gradually become a research hotspot.Especially in scenarios where labeling re-sources are limited,active learning can significantly enhance annotation efficiency through intelligent sample selection.How-ever,current active learning methods primarily rely on either diversity sampling or uncertainty sampling alone,resulting in insuf-ficiently stable performance in summarization tasks.To address these issues,this paper proposes an active learning method for text summarization based on segment weighting and semantic coverage.Specifically,segment weights and semantic coverage are introduced into diversity sampling,adjusting the sampling weights based on the number of iterations.Additionally,the degree of sample discretization in the semantic space is calculated using information entropy,combined with uncertainty sampling to im-prove the effectiveness of active learning.Experimental results on three summarization models and three benchmark datasets indi-cate that the proposed method outperforms existing active learning methods in the ROUGE-1,ROUGE-2,and ROUGE-L met-rics.Compared to the current optimal method,DUAL,the proposed method improves the ROUGE-1,ROUGE-2,and ROUGE-L metrics by 0.86 percentage points,0.42 percentage points,and 0.23 percentage points,respectively,on the PEGASUSLARGE model and the BillSum dataset.These results validate the superiority of the proposed method in text summarization tasks,provid-ing a feasible solution for enhancing model performance under conditions of limited annotated data.关键词
文本摘要/主动学习/多样性采样/不确定性采样/分段权重/语义覆盖率Key words
text summarization/active learning/diversity sampling/uncertainty sampling/segment weighting/semantic coverage分类
信息技术与安全科学引用本文复制引用
张军,罗贤涛,王石磊..面向文本摘要的基于分段权重与语义覆盖率的主动学习方法[J].计算机与现代化,2026,(8):26-34,9.基金项目
国家自然科学基金资助项目(62162002) （62162002）
