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 , 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