Reference-less Quality Estimation of Text Simplification Systems
Note: if you are looking for a tool to evaluate your simplification models, head over to EASSE instead.
This repository contains the original implementation of the evaluation methods presented in Reference-less Quality Estimation of Text Simplification Systems (1st Workshop on Automatic Text Adaption, INLG 2018). The version that was used at submission time is on branch submission.
You can get a quick glance on what the code does in demo/reference_less_evaluation.ipynb.
- Python 3.6
- Optional: QuEst (install in
- Optional: TERp (install in
git clone firstname.lastname@example.org:facebookresearch/text-simplification-evaluation.git cd text-simplification-evaluation pip install -e . pip install -r requirements.txt
Running the tests
If you use this code, please cite:
L. Martin, S. Humeau, PE. Mazaré, E. De la Clergerie, A. Bordes, B. Sagot, Reference-less Quality Estimation of Text Simplification Systems
If you have any question, please contact the author: Louis Martin (email@example.com)
See the LICENSE file for more details.