Paper: Correcting Comma Errors in Learner Essays, and Restoring Commas in Newswire Text

ACL ID N12-1029
Title Correcting Comma Errors in Learner Essays, and Restoring Commas in Newswire Text
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2012
Authors

While the field of grammatical error detection has progressed over the past few years, one area of particular difficulty for both native and non-native learners of English, comma place- ment, has been largely ignored. We present a system for comma error correction in English that achieves an average of 89% precision and 25% recall on two corpora of unedited student essays. This system also achieves state-of-the- art performance in the sister task of restor- ing commas in well-formed text. For both tasks, we show that the use of novel features which encode long-distance information im- proves upon the more lexically-driven features used in prior work.