计算机科学与探索2017，Vol.11Issue(7)：1114-1121,8.DOI:10.3778/j.issn.1673-9418.1605034
融合多结构信息的中文句法分析方法
Method for Chinese Parsing Based on Fusion of Multiple Structural Information
摘要
Abstract
Syntactic parsing is a basic technology of natural language understanding, and it is the cornerstone of deep language understanding. At present, the parsing method is based on the hypothesis of context free grammar. In fact, the context has a strong correlation in phrase structure trees. If the structural information can be used, it can fur-ther improve the accuracy of the parser. This paper combines the multiple structural information in syntactic struc-ture trees, the structural information (such as father node or left and right sister nodes) in the non-terminal node can strengthen grammar rules of context constraints. And then this paper uses the method of structural support vector machines (SSVMs) for Chinese parsing. The experimental results show that the method of multiple structural infor-mation fusion can resolve the structural ambiguity and improve the accuracy and F1 value.关键词
结构化支持向量机/上下文无关文法/结构上下文相关/中文句法分析Key words
structural support vector machines/context-free grammar/structure context correlation/Chinese parsing分类
信息技术与安全科学引用本文复制引用
赵国荣,王文剑..融合多结构信息的中文句法分析方法[J].计算机科学与探索,2017,11(7):1114-1121,8.基金项目
The National Natural Science Foundation of China under Grant Nos. 61273291, 61503229 (国家自然科学基金) （国家自然科学基金）
the Natural Science Foundation of Shanxi Province under Grant No. 2015021096 (山西省自然科学基金) （山西省自然科学基金）
the Science and Technology Innovation Project of Shanxi Province under Grant No. 2015110 (山西省高等学校科技创新项目). （山西省高等学校科技创新项目）
