Probabilistic Model for Syntactic and Semantic Dependency Parsing

  title={Probabilistic Model for Syntactic and Semantic Dependency Parsing},
  author={Enhong Chen and Liu Shi and Dawei Hu},
This paper proposes a novel method to analyze syntactic dependencies and label semantic dependencies around both the verbal predicates and the nouns. In this method, a probabilistic model is designed to obtain a global optimal result. Moreover, a predicate identification model and a disambiguation model are proposed to label predicates and their senses. The experimental results obtained on the wsj and brown test sets show that our system obtains 77% of labeled macro F1 score for the whole task… CONTINUE READING