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Sequential Graph Dependency Parser (1905.10930v2)

Published 27 May 2019 in cs.LG, cs.CL, and stat.ML

Abstract: We propose a method for non-projective dependency parsing by incrementally predicting a set of edges. Since the edges do not have a pre-specified order, we propose a set-based learning method. Our method blends graph, transition, and easy-first parsing, including a prior state of the parser as a special case. The proposed transition-based method successfully parses near the state of the art on both projective and non-projective languages, without assuming a certain parsing order.

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