Paper: LFG-based Features for Noun Number and Article Grammatical Errors

ACL ID W13-3608
Title LFG-based Features for Noun Number and Article Grammatical Errors
Venue International Conference on Computational Natural Language Learning
Session shared task
Year 2013
Authors

We introduce here a participating system of the CoNLL-2013 Shared Task ?Gram- matical Error Correction?. We focused on the noun number and article error cate- gories and constructed a supervised learn- ing system for solving these tasks. We car- ried out feature engineering and we found that (among others) the f-structure of an LFG parser can provide very informative features for the machine learning system.