Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing

نویسندگان

  • Shay B. Cohen
  • Carlos Gómez-Rodríguez
  • Giorgio Satta
چکیده

We describe a generative model for nonprojective dependency parsing based on a simplified version of a transition system that has recently appeared in the literature. We then develop a dynamic programming parsing algorithm for our model, and derive an insideoutside algorithm that can be used for unsupervised learning of non-projective dependency trees.

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تاریخ انتشار 2011