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This paper presents a solution to the GenChal 2022 shared task dedicated tofeedback comment generation for writing learning. In terms of this task given atext with an error and a span of the error, a system generates an explanatorynote that helps the writer (language learner) to improve their writing skills.Our solution is based on fine-tuning the T5 model on the initial datasetaugmented according to syntactical dependencies of the words located withinindicated error span. The solution of our team "nigula" obtained second placeaccording to manual evaluation by the organizers.

Error syntax aware augmentation of feedback comment generation dataset