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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Published in: | Transactions of the Association for Computational Linguistics Vol. 1; no. July; pp. 267 - 278 |
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Main Authors: | , |
Format: | Journal Article |
Language: | English |
Published: |
One Rogers Street, Cambridge, MA 02142-1209, USA
MIT Press
2013
MIT Press Journals, The |
Subjects: | |
Online Access: | Get full text |
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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. |
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Bibliography: | Volume, 2013 |
ISSN: | 2307-387X 2307-387X |
DOI: | 10.1162/tacl_a_00226 |