Statistical parsing with linguistic features

By incorporating linguistic features such as semantic dependency and syntactic relations,a novel statistical parsing model was proposed,and experiments were conducted for the refined statistical parser.The results show that the mode not only takes advantage of linguistic features such as semantic dependency or syntactic relations,but also considers context such as adjoining words.The model can take advantage of a few semantic dependencies at the same time.It is a parser based on lexicalized model.It achieves 87.23% precision and 86.15% recall using the model,and comprehensive index F is improved by 5.25% compared with that using the head-driven parsing model.