On the Complexity of Non-Projective Data-Driven Dependency Parsing

نویسندگان

  • Ryan McDonald
  • Giorgio Satta
چکیده

In this paper we investigate several nonprojective parsing algorithms for dependency parsing, providing novel polynomial time solutions under the assumption that each dependency decision is independent of all the others, called here the edge-factored model. We also investigate algorithms for non-projective parsing that account for nonlocal information, and present several hardness results. This suggests that it is unlikely that exact non-projective dependency parsing is tractable for any model richer than the edge-factored model.

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تاریخ انتشار 2007