Detecting Errors in Automatically-Parsed Dependency Relations

Markus Dickinson

Proceedings of ACL'10.

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.

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Bibtex entry:

  author =       {Markus Dickinson},
  title =        {Detecting Errors in Automatically-Parsed Dependency 
  booktitle = {The 48th Annual Meeting of the Association for Computational 
               Linguistics (ACL-10)}, 
  pages=         {},
  address =      {Uppsala, Sweden},
  url =          {\url{}},
  year =         {2010}