Efficient Parsing for Head-Split Dependency Trees

Head splitting techniques have been successfully exploited to improve the asymptotic runtime of parsing algorithms for projective dependency trees, under the arc-factored model. In this article we extend these techniques to a class of non-projective dependency trees, called well-nested dependency tr...

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Bibliographic Details
Published in:Transactions of the Association for Computational Linguistics Vol. 1; no. July; pp. 267 - 278
Main Authors: Satta, Giorgio, Kuhlmann, Marco
Format: Journal Article
Language:English
Published: One Rogers Street, Cambridge, MA 02142-1209, USA MIT Press 2013
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Summary:Head splitting techniques have been successfully exploited to improve the asymptotic runtime of parsing algorithms for projective dependency trees, under the arc-factored model. In this article we extend these techniques to a class of non-projective dependency trees, called well-nested dependency trees with block-degree at most 2, which has been previously investigated in the literature. We define a structural property that allows head splitting for these trees, and present two algorithms that improve over the runtime of existing algorithms at no significant loss in coverage.
Bibliography:Volume, 2013
ISSN:2307-387X
2307-387X
DOI:10.1162/tacl_a_00226