Retrieval-augmented Generation for Automated Written Corrective Feedback: From Dataset to Human Evaluation
CLIN 35, 2025
Educational NLP
Retrieval-augmented generation for automated written corrective feedback in second language acquisition.
Work on retrieval-augmented generation for automated written corrective feedback in second language acquisition, moving from dataset construction toward human evaluation.
Research theme: Educational NLP
Citation
BibTeX citation:
@inproceedings{degraeuwe2025,
author = {Degraeuwe, Jasper and Moerman, Thomas},
title = {Retrieval-Augmented {Generation} for {Automated} {Written}
{Corrective} {Feedback:} {From} {Dataset} to {Human} {Evaluation}},
booktitle = {35th Meeting of Computational Linguistics in the
Netherlands (CLIN 35)},
date = {2025-06-01},
langid = {en}
}
For attribution, please cite this work as:
Degraeuwe, Jasper, and Thomas Moerman. 2025. “Retrieval-Augmented
Generation for Automated Written Corrective Feedback: From Dataset to
Human Evaluation.” 35th Meeting of Computational Linguistics
in the Netherlands (CLIN 35), accepted, June 1.