Paper: Robust Systems for Preposition Error Correction Using Wikipedia Revisions

ACL ID N13-1055
Title Robust Systems for Preposition Error Correction Using Wikipedia Revisions
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

We show that existing methods for training preposition error correction systems, whether using well-edited text or error-annotated cor- pora, do not generalize across very differ- ent test sets. We present a new, large error- annotated corpus and use it to train systems that generalize across three different test sets, each from a different domain and with differ- ent error characteristics. This new corpus is automatically extracted from Wikipedia revi- sions and contains over one million instances of preposition corrections.