句子语义分析是语言研究深入发展的客观要求,也是当前制约语言信息处理技术深度应用的主要因素。在探索深层语义分析方法的基础上,该文根据汉语的特点,提出了一整套语义依存图的构建方法,并建立了一个包含30 000个句子的语义依存图库。以兼语句为重点研究对象,该文研究了语料库中所有纯粹的兼语句所对应的句模情况,进而试图构建基于语义依存图的句模系统,总结句型和句模的映射规则,从而为更好的建立语义自动分析模型提供相应的知识库。
Abstract
Semantic analysis of sentences is essential to language study, and it is also the major bottleneck restricting the large-scale application of language information technology at present. Based on the study of deep semantics analysis methods, we propose a new semantic analysis method-Semantic Dependency Graph, and construct a corpus consisting of 30,000 sentences. Furthermore, we make a study on the semantic sentence patterns of pure pivotal sentences in the corpus, and try to construct the system of semantic sentence patterns based on semantic dependency graph. We also summarize corresponding relations between sentence patterns and semantic sentence patterns to provide the automatic semantic parsing system with a corresponding knowledge base.
Key words semantic sentence patterns; semantic analysis; semantic dependency graph; pivotal sentence
关键词
句模 /
语义分析 /
语义依存图 /
兼语句
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Key words
semantic sentence patterns /
semantic analysis /
semantic dependency graph /
pivotal sentence
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参考文献
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脚注
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基金
国家自然科学基金(61170144),国家语委十二五科研规划重点项目(ZDI125-41),2014年度北京语言大学中青年学术骨干支持计划,北京语言大学研究生创新基金(中央高校基本科研业务费专项资金)(15YCX102)
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