Improving Dependency Label Accuracy using Statistical Post-editing: A Cross-Framework Study
نویسندگان
چکیده
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 label accuracy in parser output and highlight problems with and differences between constituency-to-dependency converters.
منابع مشابه
Improving Dependency Label Accuracy using Statistical Post-editing: A Cross-Framework Study
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.
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