For constituent-based parsing using the Chinese Treebank (CTB), <cite>Wang et al. (2006)</cite> have shown that a shift-reduce parser can give competitive accuracy scores together with high speeds, by using an SVM to make a single decision at each point in the parsing process. In this paper we describe a global discriminative model for Chinese shift-reduce parsing, and compare it with Wang et al.'s approach.