English

Improving Coverage and Runtime Complexity for Exact Inference in Non-Projective Transition-Based Dependency Parsers

Computation and Language 2018-05-03 v2

Abstract

We generalize Cohen, G\'omez-Rodr\'iguez, and Satta's (2011) parser to a family of non-projective transition-based dependency parsers allowing polynomial-time exact inference. This includes novel parsers with better coverage than Cohen et al. (2011), and even a variant that reduces time complexity to O(n6)O(n^6), improving over the known bounds in exact inference for non-projective transition-based parsing. We hope that this piece of theoretical work inspires design of novel transition systems with better coverage and better run-time guarantees. Code available at https://github.com/tzshi/nonproj-dp-variants-naacl2018

Cite

@article{arxiv.1804.10615,
  title  = {Improving Coverage and Runtime Complexity for Exact Inference in Non-Projective Transition-Based Dependency Parsers},
  author = {Tianze Shi and Carlos Gómez-Rodríguez and Lillian Lee},
  journal= {arXiv preprint arXiv:1804.10615},
  year   = {2018}
}

Comments

Proceedings of NAACL-HLT 2018. 6 pages. This version fixes display issue in an author name

R2 v1 2026-06-23T01:38:27.729Z