吉林大学学报（理学版）Issue(2)：280-284,5.DOI:10.13413/j.cnki.jdxblxb.2014.02.24
Distant Supervision方法中对齐数据的聚类去噪
Clustering Based Denoising for Aligned Data of Distant Supervision
摘要
Abstract
A new clustering based denoising method was proposed,with the help of clustering and recognizing patterns of sentences that express a relationship,to reduce the noisy data that was introduced in the alignment step of traditional distant supervision method.The experimental results demonstrate that our approach can significantly improve the accuracy of relation extraction system.关键词
关系抽取/聚类/distant supervision方法/去噪Key words
relation extraction/clustering/distant supervision method/denoising分类
信息技术与安全科学引用本文复制引用
朱兆龙,欧阳丹彤,叶育鑫..Distant Supervision方法中对齐数据的聚类去噪[J].吉林大学学报（理学版）,2014,(2):280-284,5.基金项目
国家自然科学基金(批准号:61133011 （）
41172294 （）
61170092) （）
