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Efficient Parsing for Head-Split Dependency Trees
University of Padua.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)ORCID iD: 0000-0002-2492-9872
2013 (English)In: Transactions of the Association for Computational Linguistics, Vol. 1, no July, 267-278 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2013. Vol. 1, no July, 267-278 p.
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-203668OAI: oai:DiVA.org:uu-203668DiVA: diva2:637263
Available from: 2013-07-17 Created: 2013-07-17 Last updated: 2013-07-17

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Kuhlmann, Marco

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