Our Automatic Gapping Resolution System for Russian is based on Machine Learning. It is built with usage of BERT language representation (pre-trained multi-cased). It has some additionnal layers on BERT model and one head for each type of mark (class, V, cV, R1, R2, cR1 and cR2).
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