Data and code for the paper "Continuous Decomposition of Granularity for Neural Paraphrase Generation" at COLING 2022.
python main.py --dataset quora --model GATransformer --model_size dnpg-default --per_gpu_train_batch_size 32 --learning_rate 5e-5 --src_maxlen 20 --tar_maxlen 20 --beam_size 8 --max_steps 400000 --validating_steps 5000 --start_eval 20000
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C-DNPG
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If you use any source code included in this toolkit in your work, please cite the following paper:
@inproceedings{gu2022cdnpg,
title={Continuous Decomposition of Granularity for Neural Paraphrase Generation},
author={Gu, Xiaodong and Zhang, Zhaowei and Lee, Sang-Woo and Yoo, Kang Min and Ha, Jung-Woo},
journal={In Proceedings of 29th International Conference on Computational Linguistics (COLING 2022)},
year={2022}
}