# access **Repository Path**: facebookresearch/access ## Basic Information - **Project Name**: access - **Description**: Code to reproduce the experiments from the paper. - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: dependabot/pip/joblib-1.2.0 - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2023-07-24 - **Last Updated**: 2024-10-23 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Controllable Sentence Simplification This repository contains the original implementation of the ACCESS model (**A**udien**C**e-**CE**ntric **S**entence **S**implification) presented in [Controllable Sentence Simplification](https://arxiv.org/abs/1910.02677). The version that was used at submission time is on branch [submission](https://github.com/facebookresearch/access/tree/submission). ## Getting Started ### Dependencies * Python 3.6 ### Installing ``` git clone git@github.com:facebookresearch/access.git cd access pip install -e . pip install --force-reinstall easse@git+git://github.com/feralvam/easse.git@580ec953e4742c3ae806cc85d867c16e9f584505 pip install --force-reinstall fairseq@git+https://github.com/louismartin/fairseq.git@controllable-sentence-simplification pip install torch==1.2 pip install sacrebleu==1.3.7 ``` ### How to use Evaluate the pretrained model on WikiLarge: ``` python scripts/evaluate.py ``` Simplify text with the pretrained model ``` python scripts/generate.py < my_file.complex ``` Train a model ``` python scripts/train.py ``` ## Pretrained model The fairseq checkpoint of our model with the best scores can be found [here](http://dl.fbaipublicfiles.com/access/best_model.tar.gz). The model's output simplifications can be viewed on the [EASSE HTML report](http://htmlpreview.github.io/?https://github.com/facebookresearch/access/blob/master/system_output/easse_report.html). ## References If you use this code, please cite: L. Martin, B. Sagot, E. De la Clergerie, A. Bordes, [*Controllable Sentence Simplification*](https://arxiv.org/abs/1910.02677) ## Author If you have any question, please contact the author: **Louis Martin** ([louismartincs@gmail.com](mailto:louismartincs@gmail.com)) ## License See the [LICENSE](LICENSE) file for more details.