Evaluation of Dependency Parsers on Unbounded Dependencies

نویسندگان

  • Joakim Nivre
  • Laura Rimell
  • Ryan T. McDonald
  • Carlos Gómez-Rodríguez
چکیده

We evaluate two dependency parsers, MSTParser and MaltParser, with respect to their capacity to recover unbounded dependencies in English, a type of evaluation that has been applied to grammarbased parsers and statistical phrase structure parsers but not to dependency parsers. The evaluation shows that when combined with simple post-processing heuristics, the parsers correctly recall unbounded dependencies roughly 50% of the time, which is only slightly worse than two grammar-based parsers specifically designed to cope with such dependencies.

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تاریخ انتشار 2010