1 code implementation • EMNLP 2018 • Kasewa Sudhanshu, Stenetorp Pontus, Riedel Sebastian
Grammatical error correction, like other machine learning tasks, greatly benefits from large quantities of high quality training data, which is typically expensive to produce.