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Improving dependency label accuracy using statistical post-editing: A cross-framework study

Cetinoglu, Ozlem, Bryl, Anton, Foster, Jennifer orcid logoORCID: 0000-0002-7789-4853 and van Genabith, Josef orcid logoORCID: 0000-0003-1322-7944 (2011) Improving dependency label accuracy using statistical post-editing: A cross-framework study. In: International Conference on Dependency Linguistics (DepLing), 5-7 Sept 2011, Barcelona, Spain.

Abstract
We present a statistical post-editing method for modifying the dependency labels in a dependency analysis. We test the method using two English datasets, three parsing systems and three labelled dependency schemes. We demonstrate how it can be used both to improve dependency label accuracy in parser output and highlight problems with and differences between constituency-to-dependency conversions.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:dependency labels; dependency analysis
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Institutes and Centres > Centre for Next Generation Localisation (CNGL)
Research Institutes and Centres > National Centre for Language Technology (NCLT)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16430
Deposited On:07 Oct 2011 13:28 by Shane Harper . Last Modified 19 Jan 2022 12:49
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