1. Bitchener, J., Young, S., Cameron, D.: The effect of different types of corrective feedback on ESL student writing. J. Second Lang. Writ. 14(3), 191–205 (2005)
2. Core, M.G., Moore, J.D., Zinn, C.: The role of initiative in tutorial dialogue. In: Proceedings of 10th Conference on European Chapter of the Association for Computational Linguistics, vol. 1, pp. 67–74 (2003). DOI:
https://doi.org/10.3115/1067807.1067818
3. Elizabeth Boyer, K., Phillips, R.D. W̃allis, M., Vouk, M.C. L̃ester, J.: Learner characteristics and feedback in tutorial dialogue. In: Proceedings of 12th Workshop on Innovative Use of NLP for Building Educational Applications, pp. 53–61 (2008)
4. Felice, R.D., Pulman, S.G.: A classifier-based approach to preposition and determiner error correction in L2 English. In: Proceedings of 22nd International Conference on Computational Linguistics, pp. 169–176 (2008)
5. Han, N.R., Chodorow, M., Leacock, C.: Detecting errors in English article usage with a maximum entropy classifier trained on a large, diverse corpus. In: Proceedings of 4th International Conference on Language Resources and Evaluation, pp. 1625–1628 (2004)