Structural Correspondence Learning for Dependency Parsing

  title={Structural Correspondence Learning for Dependency Parsing},
  author={Nobuyuki Shimizu and Hiroshi Nakagawa},
Following (Blitzer et al., 2006), we present an application of structural correspondence learning to non-projective dependency parsing (McDonald et al., 2005). To induce the correspondences among dependency edges from different domains, we looked at every two tokens in a sentence and examined whether or not there is a preposition, a determiner or a helping verb between them. Three binary linear classifiers were trained to predict the existence of a preposition, etc, on unlabeled data and we… CONTINUE READING

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