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ACL
2010

Detecting Errors in Automatically-Parsed Dependency Relations

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Detecting Errors in Automatically-Parsed Dependency Relations
We outline different methods to detect errors in automatically-parsed dependency corpora, by comparing so-called dependency rules to their representation in the training data and flagging anomalous ones. By comparing each new rule to every relevant rule from training, we can identify parts of parse trees which are likely erroneous. Even the relatively simple methods of comparison we propose show promise for speeding up the annotation process.
Markus Dickinson
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where ACL
Authors Markus Dickinson
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