The mainstream lexicalized syntactic parsing models currently only utilized semantic dependency between words

and did not incorporate other semantic information such as semantic collocation and semantic category.valencyis a essential semantic feature of words

once the valency of word is determined

the collocation of the word is clear

and the sentence structure can be directly derived.Thus a syntactic parsing model combining valence structure with semantic dependency is purposed on the base of head-driven statistical syntactic parsing models.The parsing model incorporates rich semantic information including semantic dependency and semantic collocation in the decomposition and probability computation of the rules.Experiments are conducted for the refined statistical parser

it achieves 88.76% precision and 87.43% recall

F measure is improved 6.65% comparing with the head-driven parsing model introduced by Collins.