Unpaired-Sentiment-Translation

Code for "Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach" [pdf]

Requirements

• ubuntu 16.04
• python 3.5
• tensorflow 1.4.1
• nltk 3.2.5

Data

• Yelp
• Amazon

The details of input data are shown in "train-original" and "test-original" (the processed Yelp data). If you want to run our code on your own dataset, you first need to process your dataset into the specific data structure.

Run

nohup bash run_train.sh > log_train.txt &
nohup bash run_test.sh > log_test.txt &

Cite

To use this code, please cite the following paper:

Jingjing Xu, Xu Sun, Qi Zeng, Xuancheng Ren, Xiaodong Zhang, Houfeng Wang, Wenjie Li. Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach. In proceedings of ACL 2018.

bibtext:

@inproceedings{unpaired-sentiment-translation,
  author    = {Jingjing Xu and Xu Sun and Qi Zeng and Xuancheng Ren and Xiaodong Zhang and Houfeng Wang and Wenjie Li},
  title     = {Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach},
  booktitle = {ACL},
  year      = {2018}
}