Code and models used in "MUSS Multilingual Unsupervised Sentence Simplification by Mining Paraphrases".

Related tags

Deep Learningmuss
Overview

Multilingual Unsupervised Sentence Simplification

Code and pretrained models to reproduce experiments in "MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases".

Prerequisites

Linux with python 3.6 or above.

Installing

git clone [email protected]:facebookresearch/muss.git
cd muss/
pip install -e .

How to use

Some scripts might still contain a few bugs, if you notice anything wrong, feel free to open an issue or submit a Pull Request.

Simplify sentences from a file using pretrained models

# English
python scripts/simplify.py scripts/examples.en --model-name muss_en_wikilarge_mined
# French
python scripts/simplify.py scripts/examples.fr --model-name muss_fr_mined
# French
python scripts/simplify.py scripts/examples.es --model-name muss_es_mined

Pretrained models should be downloaded automatically, but you can also find them here:
muss_en_wikilarge_mined
muss_en_mined
muss_fr_mined
muss_es_mined

Mine the data

python scripts/mine_sequences.py

Train the models

python scripts/train_model.py

Evaluate simplifications

Please head over to EASSE for Sentence Simplification evaluation.

License

The MUSS license is CC-BY-NC. See the LICENSE file for more details.

Authors

Citation

If you use MUSS in your research, please cite MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases

@article{martin2021muss,
  title={MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases},
  author={Martin, Louis and Fan, Angela and de la Clergerie, {\'E}ric and Bordes, Antoine and Sagot, Beno{\^\i}t},
  journal={arXiv preprint arXiv:2005.00352},
  year={2021}
}
Owner
Facebook Research
Facebook Research
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