Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?
This work addresses the challenge of providing automated feedback for English language learners, but it is incremental as it builds on existing methods without introducing major innovations.
The paper tackled the problem of generating feedback comments for English language learners' writing errors by experimenting with LLMs and data augmentation, achieving strong baselines but without reporting specific performance numbers.
In this paper, we present strong baselines for the task of Feedback Comment Generation for Writing Learning. Given a sentence and an error span, the task is to generate a feedback comment explaining the error. Sentences and feedback comments are both in English. We experiment with LLMs and also create multiple pseudo datasets for the task, investigating how it affects the performance of our system. We present our results for the task along with extensive analysis of the generated comments with the aim of aiding future studies in feedback comment generation for English language learners.