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Semantic Labeling of Chinese Subject-Predicate Predicate Sentence Based on Feature Structure 基于特征结构的汉语主谓谓词句语义标注
Pub Date : 2012-09-06 DOI: 10.2991/EMEIT.2012.67
Lv Chen
Constructing large scale Chinese semantic resources is one of the major tasks in current Chinese Information Processing.However,the conventional approaches in semantic parsing have some defects in that they cannot denote the semantic relatedness between Chinese words and constituents.We propose a semantic annotation approach based on Feature Structure and accordingly construct large scale Chinese semantic resources.We choose "subject-predicate predicate sentence" as the research target in the paper,summarize seven categories of Feature Triples,and compare the results of three different analysis methods.Parsing based on Feature Structure solves the problems of appropriate ways to tackle the special Chinese sentence patterns.It also provides more semantic information than conventional approaches,and produces an improved annotating efficiency and accuracy.
构建大规模的汉语语义资源是当前汉语信息处理的主要任务之一。然而,传统的语义分析方法存在着不能反映汉语词与成分之间语义关系的缺陷。提出了一种基于特征结构的语义标注方法,并据此构建了大规模的汉语语义资源。本文选择“主谓谓语句”作为研究对象,总结了七类特征三元组,并比较了三种不同分析方法的结果。基于特征结构的句法分析解决了汉语特殊句型处理方法的问题。它还提供了比传统方法更多的语义信息,并提高了注释的效率和准确性。
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引用次数: 7
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中文信息学报
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