Paper: Using Entity-Based Features to Model Coherence in Student Essays

ACL ID N10-1099
Title Using Entity-Based Features to Model Coherence in Student Essays
Venue Human Language Technologies
Session Main Conference
Year 2010
Authors

We show how the Barzilay and Lapata entity- based coherence algorithm (2008) can be applied to a new, noisy data domain – student essays. We demonstrate that by combining Barzilay and Lapata’s entity-based features with novel features related to grammar errors and word usage, one can greatly improve the performance of automated coherence prediction for student essays for different populations.