摘要
文章首先梳理了国内外对语义角色标注技术研究的相关文献,并综述了支持语义角色标注的主要语料资源,从句法分析、特征向量选择以及机器学习3个角度介绍了目前语义角色标注的主要方法,指出语义角色标注的未来发展趋势。最后,详细描述了基于语义角色标注的科技创新知识发现过程以及语义角色标注在科技情报分析研究中的应用价值,以期促进大数据时代科技情报语义分析研究。
This paper firstly reviews the related research literature at home and abroad on semantic role labeling technology and summarizes the main corpus resources that support the semantic role labeling. The paper introduces the main methods of semantic role labeling from 3 perspectives of syntactic analysis,feature vector selection and machine learning. The paper points out the future development trend of semantic role labeling as well. Finally,the paper makes a detailed description on the discovery process of scientific and technical innovation knowledge on the basis of semantic role labeling and the application value of semantic role labeling in the study of scientific and technical information analysis,in order to promote the study of scientific and technical information analysis in the era of big data.
出处
《情报理论与实践》
CSSCI
北大核心
2015年第1期98-103,共6页
Information Studies:Theory & Application
基金
国家社会科学基金项目"学术文献‘意抄’检测研究"(项目编号:12CTQ032)
山东省自然科学基金项目"大规模学术文献并行处理与语义分类研究"(项目编号:ZR2011GL025)的成果之一
关键词
语义角色标注
科技情报
分析
知识发现
semantic role labeling
scientific and technical information
analysis
knowledge discovery
