基于结构化支持向量机的中文句法分析

摘要

通过构造结构化函数ψ(x,y),提出一种基于结构化支持向量机(SVM-Struct)的中文句法分析方法.实验结果表明,与经典的概率上下文无关文法(PCFG)相比,文章提出的方法在中文句法分析方面是十分有效的.%A structural support vector machine (SVM-Struct) approach for Chinese parsing was introduced by constructing structural function ψ(x, y) . Comparing with the traditional probabilistic context free grammar (PCFG) ,the experiment results demonstrate that the proposed SVM-Struct approach is effective for Chinese parsing.