@InProceedings{felice-bryant-briscoe:2016:COLING,
  author    = {Felice, Mariano  and  Bryant, Christopher  and  Briscoe, Ted},
  title     = {Automatic Extraction of Learner Errors in ESL Sentences Using Linguistically Enhanced Alignments},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {825--835},
  abstract  = {We propose a new method of automatically extracting learner errors from
	parallel English as a Second Language (ESL) sentences in an effort to
	regularise annotation formats and reduce inconsistencies. Specifically, given
	an original and corrected sentence, our method first uses a linguistically
	enhanced alignment algorithm to determine the most likely mappings between
	tokens, and secondly employs a rule-based function to decide which alignments
	should be merged. Our method beats all previous approaches on the tested
	datasets, achieving state-of-the-art results for automatic error extraction.},
  url       = {http://aclweb.org/anthology/C16-1079}
}