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nusnlp/GRECO
GRECO is a machine learning model from nusnlp. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as gpl-3.0.
GRECO is a quality estimation model for grammatical error correction. The model is trained to detect which words are incorrect and whether a word or phrase needs to be inserted after certain words. You can then use th…
Downloads · 30 days
12
2% of all-time downloads
All-time downloads
503
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From the Hugging Face model README
GRECO is a quality estimation model for grammatical error correction. The model is trained to detect which words are incorrect and whether a word or phrase needs to be inserted after certain words. You can then use the model to get the grammaticality score of a sentence.
Please check the official repository for more implementation details and updates.
The model was published in the following paper:
System Combination via Quality Estimation for Grammatical Error Correction (PDF | ACL Anthology) <br> Muhammad Reza Qorib and Hwee Tou Ng <br> The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
If you find it useful for your work, please cite the paper:
@inproceedings{qorib-ng-2023-system,
title = "System Combination via Quality Estimation for Grammatical Error Correction",
author = "Qorib, Muhammad Reza and
Ng, Hwee Tou",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.emnlp-main.785",
doi = "10.18653/v1/2023.emnlp-main.785",
pages = "12746--12759",
}