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

Cetinoglu, Ozlem and Bryl, Anton and Foster, Jennifer and van Genabith, Josef (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.

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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.

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 Initiatives and Centres > Centre for Next Generation Localisation (CNGL) Research Initiatives 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 14:28 by Shane Harper. Last Modified 07 Oct 2011 14:28

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