汉语增强依存句法自动转换研究

Automatic Transformation of Enhanced Dependencies in Chinese

在斯坦福基础依存句法规范的基础上,该文研制了汉语增强依存句法规范,主要贡献在于:介词和连词的增强、并列项的传播、句式转换和特殊句式的增强。此外,该文提供了基于Python的汉语增强依存句法转换的转换器,以及将句子从基础依存句法树通过所提规范解析成依存图的Web演示。最后,该文探索了增强依存句法的实际应用,并以搭配抽取和信息抽取为例进行相关讨论。

Based on the Stanford Basic Dependency Syntax standards,this paper developed a guidelines of enhanced dependency syntax for Chinese.The main contributions include:prepositions and conjunctions,parallel structures,syntactic alternations and special syntactic.Furthermore,this paper provides a converter for Chinese Enhanced Dependency transformation by Python,and a web-based demo that parses sentences into dependency graphs through universal syntactic dependencies and the specification of this paper.Lastly,the paper explores practical applications of augmented dependency syntax such as collocation extraction and information extraction.