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A Unifying Theory of Transition-based and Sequence Labeling Parsing.

, , and . COLING, page 3776-3793. International Committee on Computational Linguistics, (2020)

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Speeding up Natural Language Parsing by Reusing Partial Results., and . CICLing (1), volume 13451 of Lecture Notes in Computer Science, page 648-657. Springer, (2019)Viable Dependency Parsing as Sequence Labeling., , and . NAACL-HLT (1), page 717-723. Association for Computational Linguistics, (2019)Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing., , and . RANLP, page 978-988. INCOMA Ltd., (2021)Parsing as Pretraining., , , and . AAAI, page 9114-9121. AAAI Press, (2020)Bracketing Encodings for 2-Planar Dependency Parsing., , and . COLING, page 2472-2484. International Committee on Computational Linguistics, (2020)A Unifying Theory of Transition-based and Sequence Labeling Parsing., , and . COLING, page 3776-3793. International Committee on Computational Linguistics, (2020)Justifying Multi-label Text Classifications for Healthcare Applications., , , and . ECIR (2), volume 13981 of Lecture Notes in Computer Science, page 406-413. Springer, (2023)Towards Making a Dependency Parser See., , and . EMNLP/IJCNLP (1), page 1500-1506. Association for Computational Linguistics, (2019)Sequence Labeling Parsing by Learning across Representations., , and . ACL (1), page 5350-5357. Association for Computational Linguistics, (2019)