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Parsing Mildly Non-Projective Dependency Structures., , and . EACL, page 291-299. The Association for Computer Linguistics, (2009)A Unifying Theory of Transition-based and Sequence Labeling Parsing., , and . COLING, page 3776-3793. International Committee on Computational Linguistics, (2020)Data Augmentation via Subtree Swapping for Dependency Parsing of Low-Resource Languages., and . COLING, page 3818-3830. International Committee on Computational Linguistics, (2020)Distilling Neural Networks for Greener and Faster Dependency Parsing., and . IWPT 2020, page 2-13. Association for Computational Linguistics, (2020)Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing., and . EMNLP, page 1303-1313. Association for Computational Linguistics, (2018)Inherent Dependency Displacement Bias of Transition-Based Algorithms., and . LREC, page 5147-5155. European Language Resources Association, (2020)A Transition-Based Parser for 2-Planar Dependency Structures., and . ACL, page 1492-1501. The Association for Computer Linguistics, (2010)An Efficient Dynamic Oracle for Unrestricted Non-Projective Parsing., and . ACL (2), page 256-261. The Association for Computer Linguistics, (2015)Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing., and . ACL, page 4092-4099. Association for Computational Linguistics, (2020)One model, two languages: training bilingual parsers with harmonized treebanks., , and . ACL (2), The Association for Computer Linguistics, (2016)