pip install -r requirements.txt

wget http://phontron.com/data/paraphrase-at-scale.zip
unzip paraphrase-at-scale.zip
rm paraphrase-at-scale.zip
wget http://www.cs.cmu.edu/~jwieting/STS.zip .
unzip STS.zip
rm STS.zip

@article{wieting2021paraphrastic,
    title={Paraphrastic Representations at Scale},
    author={Wieting, John and Gimpel, Kevin and Neubig, Graham and Berg-Kirkpatrick, Taylor},
    journal={arXiv preprint arXiv:2104.15114},
    year={2021}
}

@inproceedings{wieting19simple,
    title={Simple and Effective Paraphrastic Similarity from Parallel Translations},
    author={Wieting, John and Gimpel, Kevin and Neubig, Graham and Berg-Kirkpatrick, Taylor},
    booktitle={Proceedings of the Association for Computational Linguistics},
    url={https://arxiv.org/abs/1909.13872},
    year={2019}
}

python -u embed_sentences.py --sentence-file paraphrase-at-scale/example-sentences.txt --load-file paraphrase-at-scale/model.para.lc.100.pt  --sp-model paraphrase-at-scale/paranmt.model --output-file sentence_embeds.np --gpu 0

python -u score_sentence_pairs.py --sentence-pair-file paraphrase-at-scale/example-sentences-pairs.txt --load-file paraphrase-at-scale/model.para.lc.100.pt  --sp-model paraphrase-at-scale/paranmt.model --gpu 0

python -u main.py --outfile model.para.out --lower-case 1 --tokenize 0 --data-file paraphrase-at-scale/paranmt.sim-low=0.4-sim-high=1.0-ovl=0.7.final.h5 \
       --model avg --dim 1024 --epochs 25 --dropout 0.0 --sp-model paraphrase-at-scale/paranmt.model --megabatch-size 100 --save-every-epoch 1 --gpu 0 --vocab-file paraphrase-at-scale/paranmt.sim-low=0.4-sim-high=1.0-ovl=0.7.final.vocab