Abstract
We introduce the AIP-Tohoku grammatical error correction (GEC) system for the BEA- 2019 shared task in Track 1 (Restricted Track) and Track 2 (Unrestricted Track) using the same system architecture. Our system comprises two key components: Error generation and sentence-level error detection. In particular, GEC with sentence-level grammatical error detection is a novel and versatile approach, and we experimentally demonstrate that it significantly improves the precision of the base model. Our system is ranked 9th in Track 1 and 2nd in Track 2.
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CITATION STYLE
Asano, H., Mita, M., Mizumoto, T., & Suzuki, J. (2019). The aip-tohoku system at the bea-2019 shared task. In ACL 2019 - Innovative Use of NLP for Building Educational Applications, BEA 2019 - Proceedings of the 14th Workshop (pp. 176–182). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w19-4418
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