语义角色标注是一种浅层语义分析的方法。
Semantic Role Labeling is a shallow semantic parsing method.
语义角色标注是浅层语义分析的一种可行方案。
Semantic role labeling is a feasible proposal to shallow semantic parsing.
近年来，大量的研究开始关注浅层语义分析，也就是语义角色标注(SRL)。
Recent years have seen an increasingly interest in shallow semantic parsing, namely the semantic role labeling task (SRL).
由于现有自然语言处理技术以及统计学习技术的成熟，使浅层语义分析得以实现。
Because the technology of natural language processing and statistical learning is becoming more and more solid, it is possible to realize shallow semantic parsing.
本文研究如何根据浅层的语义分析确定自然口语对话中的语句主题。
This paper investigates how to identify utterance topics in spontaneous spoken dialogues based on some shallow semantic analysis.
简单句结构分析以谓语动词为中心，依据其EICG格约束和句子浅层分析结果填充格框架，从而得到整个句子的语法语义结构。句子结构转换依照句子分析结果和转换规则产生等价的目标语言的线性语法语义结构。
Analysis of predicate verb in a simple sentence is carried out based on the EICG constraints and shallow syntactic parsing results to get the syntactic and semantic structure of the whole sentence.
简单句结构分析以谓语动词为中心，依据其EICG格约束和句子浅层分析结果填充格框架，从而得到整个句子的语法语义结构。句子结构转换依照句子分析结果和转换规则产生等价的目标语言的线性语法语义结构。
Analysis of predicate verb in a simple sentence is carried out based on the EICG constraints and shallow syntactic parsing results to get the syntactic and semantic structure of the whole sentence.
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