The best individual model based on representation learning, Transformer CNN, (#4, Table ) provided a slightly higher QWK score compared to that of the best DNN model for the Leaderboard set, but the same score for the private set. The consensus model built using the ASNN method had higher QWK scores than the respective consensus models built using DNN and CatBoost. An attempt to improve results by substituting DNN models with ASNN provided lower QWK scores for both the Leaderboard set (0.142) and private sets (0.112) as compared to the challenge model. Thus, it looks like the combination of modeling methods selected by us provided a nearly optimal score within our approach.