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guxd / C-DNPG

Data and code for the paper "Continuous Decomposition of Granularity for Neural Paraphrase Generation"
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C-DNPG

Data and code for the paper "Continuous Decomposition of Granularity for Neural Paraphrase Generation" at COLING 2022.

Usage

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

License

BSD 3-clause

C-DNPG
Copyright 2022-present NAVER Corp.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
  list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
  this list of conditions and the following disclaimer in the documentation
  and/or other materials provided with the distribution.

* Neither the name of the copyright holder nor the names of its
  contributors may be used to endorse or promote products derived from
  this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

References

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}
}