Paper: A Graphical Interface for Automatic Error Mining in Corpora

ACL ID E14-2015
Title A Graphical Interface for Automatic Error Mining in Corpora
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

We present an error mining tool that is de- signed to help human annotators to find errors and inconsistencies in their anno- tation. The output of the underlying al- gorithm is accessible via a graphical user interface, which provides two aggregate views: a list of potential errors in con- text and a distribution over labels. The user can always directly access the ac- tual sentence containing the potential er- ror, thus enabling annotators to quickly judge whether the found candidate is in- deed incorrectly labeled.