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Dynamic Programming Algorithms for Transition-Based Dependency Parsers

Marco Kuhlmann, Carlos Gómez-Rodríguez, and Giorgio Satta. Dynamic Programming Algorithms for Transition-Based Dependency Parsers. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL), pages 673–682, Portland, OR, USA, 2011.

Abstract

We develop a general dynamic programming technique for the tabulation of transition-based dependency parsers, and apply it to obtain novel, polynomial-time algorithms for parsing with the arc-standard and arc-eager models. We also show how to reverse our technique to obtain new transition-based dependency parsers from existing tabular methods. Additionally, we provide a detailed discussion of the conditions under which the feature models commonly used in transition-based parsing can be integrated into our algorithms.

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