@article{satta-kuhlmann-2013-efficient,
title = "Efficient Parsing for Head-Split Dependency Trees",
author = "Satta, Giorgio and
Kuhlmann, Marco",
editor = "Lin, Dekang and
Collins, Michael",
journal = "Transactions of the Association for Computational Linguistics",
volume = "1",
year = "2013",
address = "Cambridge, MA",
publisher = "MIT Press",
url = "https://aclanthology.org/Q13-1022",
doi = "10.1162/tacl_a_00226",
pages = "267--278",
abstract = "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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<abstract>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.</abstract>
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%0 Journal Article
%T Efficient Parsing for Head-Split Dependency Trees
%A Satta, Giorgio
%A Kuhlmann, Marco
%J Transactions of the Association for Computational Linguistics
%D 2013
%V 1
%I MIT Press
%C Cambridge, MA
%F satta-kuhlmann-2013-efficient
%X 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.
%R 10.1162/tacl_a_00226
%U https://aclanthology.org/Q13-1022
%U https://doi.org/10.1162/tacl_a_00226
%P 267-278
Markdown (Informal)
[Efficient Parsing for Head-Split Dependency Trees](https://aclanthology.org/Q13-1022) (Satta & Kuhlmann, TACL 2013)
ACL