基于特征结构的汉语连动句语义标注研究

对汉语特殊句型的语义分析是当前中文信息处理的难点之一。现有的传统语义分析方法存在一些问题,不能很好的反映汉语中各个词语或成分之间的语义关联。该文以汉语连动句为例,提出了基于特征结构模型的语义标注方法,探讨了连动句的语义标注模型,并在此基础上建构了一个大规模的汉语语义资源。结果表明,特征结构模型能够对连动句中的主语与多个谓语动词、多个宾语之间的复杂语义关系进行全面准确的描述,为面向汉语的自然语言处理提供了一种不同的语义分析方法。

Semantic Labeling of Chinese Serial-Verbs Sentence Based on Feature Structure

Parsing Chinese special sentence patterns is one of the major tasks in Chinese Information Processing. The Current conventional approaches in semantic parsing have some defects in that they cannot denote the semantic relatedness between Chinese words and constituents. In the paper, we choose “Serial-Verbs Sentence” as the research target, propose a semantic annotation approach based on Feature Structure, and study the semantic annotation models of “Serial-Verbs Sentence”. Feature Structure Model provides a different semantic parse approach for Chinese Information Processing, which can represent the complicated semantic relations among the subject, the predicates and the objects of “Serial-Verbs Sentence”.
Key wordsfeature structure; Chinese Serial-Verbs Sentence; semantic annotation; semantic resource