摘要
语义角色标注是浅层语义分析的一种实现方式.语义角色标注技术已经被成功地应用到信息检索、自动问答、信息抽取、自动文摘以及机器翻译等多个领域,有效地提高了系统的性能.因此众多的研究将注意力集中于语义角色标注.对语义角色标注实例库的构建、语义角色标注规则的抽取以及语义角色标注的生成等几方面的最新研究进展进行论述,并对语义角色标注技术的难点及未来的发展方向进行了展望.
Semantic role is a realization way of shallow semantic role labeling.More researches focus on the semantic role labeling.Semantic role labeling technology has been successfully applied to information retrieval,automatic question answering,information extraction,automatic Abstract and machine translation,etc.Therefore,the performance of the system is improved effectively.This paper focuses on the semantic roles of corpus construction,and mark examples semantic roles of extraction and mark rules semantic role with the formation of a few of the newest research progress on the detailed review.At the last section,some challenges,together with the future directions of Semantic Role Labeling technology are indicated.
出处
《山东理工大学学报(自然科学版)》
CAS
2011年第6期19-24,共6页
Journal of Shandong University of Technology:Natural Science Edition
基金
国家自然科学基金资助项目(61003168)
山东理工大学本科生创新研究项目(2011126)
关键词
自然语言处理
语义角色标注
机器学习
natural language processing
semantic role labeling
machine learning