Hybrid Parsing: Using Probabilistic Models as Predictors for a Symbolic Parser

In this paper we investigate the benefit of stochastic predictor components for the parsing quality which can be obtained with a rule-based dependency grammar. By including a chunker, a supertagger, a PP attacher, and a fast probabilistic parser we were able to improve upon the baseline by 3.2%, bringing the overall labelled accu

• Type: Conference
• Year: 2006
• Where: ACL
• Authors: Kilian A. Foth, Wolfgang Menzel
• Keywords: ACL 2006, ACL 2007, Fast Probabilistic Parser, Rule-based Dependency Grammar, Stochastic Predictor Components