This repo is the codes for Paper SIMSUM: Document-level Text Simplification via Simultaneous Summarization (ACL2023)
The required packages can be installed by
pip install -r requirements.txt
The datasets used for document-level simplification are listed in /SimSum/data , named D-Wiki for D-Wikipedia and wiki_doc for WikiDoc.
To train the model:
python main.py
Bart2.py and T5_2.py means our SimSum model with BART and T5 as the backbone. For the single model, use the Bart_baseline_finetuned.py and T5_baseline_finetuned.py.
To evaluate the model,
python evaluate.py
which will compute the SARI, D-SARI, BLEU and FKGL score.
