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.
翻译：在本文中,我们为编写学习反馈评论生成任务提出了强有力的基线。考虑到一个句子和一个错误,我们的任务是产生一个解释错误的反馈评论。句子和反馈评论都用英文。我们试验LLMS,并为任务创建多种假数据集,调查它如何影响我们系统的业绩。我们提出我们的任务结果,同时对生成的评论进行广泛分析,目的是协助未来研究,为英语学习者生成反馈评论。
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