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A Transition-Based Dependency Parser Using a Dynamic Parsing Strategy

Francesco Sartorio, giorgio satta and Joakim Nivre

The 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013)
Sofia, Bulgaria, August 4-9, 2013


We present a novel transition-based, greedy dependency parser which implements a flexible mix of bottom-up and top-down strategies. The new strategy allows the parser to postpone difficult decisions until the relevant information becomes available. The novel parser has a ~12% error reduction in unlabeled attachment score over an arc-eager parser, with a slow-down factor of 2.8.

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