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Arc-Eager Parsing with the Tree Constraint
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
2014 (English)In: Computational linguistics - Association for Computational Linguistics (Print), ISSN 0891-2017, E-ISSN 1530-9312, Vol. 40, no 2, 259-267 p.Article in journal (Refereed) Published
Abstract [en]

The arc-eager system for transition-based dependency parsing is widely used in natural language processing despite the fact that it does not guarantee that the output is a well-formed dependency tree. We propose a simple modification to the original system that enforces the tree constraint without requiring any modification to the parser training procedure. Experiments on multiple languages show that the method on average achieves 72% of the error reduction possible and consistently outperforms the standard heuristic in current use.

Place, publisher, year, edition, pages
2014. Vol. 40, no 2, 259-267 p.
National Category
General Language Studies and Linguistics Computer and Information Science
URN: urn:nbn:se:uu:diva-229457DOI: 10.1162/COLI_a_00185ISI: 000338196000002OAI: oai:DiVA.org:uu-229457DiVA: diva2:736618
Available from: 2014-08-07 Created: 2014-08-07 Last updated: 2014-08-07Bibliographically approved

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Nivre, Joakim
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Department of Linguistics and Philology
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Computational linguistics - Association for Computational Linguistics (Print)
General Language Studies and LinguisticsComputer and Information Science

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