摘要
语义分析是自然语言理解领域研究的根本性问题,浅层语义分析为此提供了一种新的解决途径.从语义学的角度讨论了浅层语义分析的发展历史和理论基础,概述了语义角色标注任务的定义、相关资源与方法.还着重介绍并比较了当前英语两大语义角色体系和汉语角色体系,最后给出了浅层语义分析中统计模型的现有特征集的句法语义分类.
Semantic parsing is a fundamental problem in natural language understanding. Shallow semantic parsing, as methodology, can be a novel strategy. the rationale and development of shallow semantic parsing is explored, and the definitions, corpus and approaches to semantic role labeling are introduced. A comparison is made between two semantic role systems in English and one in Chinese, and features of statistic methods are surveyed in a syntactic and semantic view.
出处
《计算机研究与发展》
EI
CSCD
北大核心
2008年第z1期321-325,共5页
Journal of Computer Research and Development
基金
国家自然科学基金项目(60403050)
教育部"新世纪优秀人才支持计划"基金项目
