Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 5 of its 26 references that are in the map. First posted on arXiv 18 Dec 2022.
Builds on
5 of 26 references.
References · 5
- 2017Attention Is All You Needcited by 60,361
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
- 2018BLEU is Not Suitable for the Evaluation of Text Simplificationcited by 78
- 2019An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correctioncited by 55
- 2018Towards a Better Metric for Evaluating Question Generation Systemscited by 52
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Citing papers per year: 2023: 1; 2024: 2.
3 papers.