/SMAE

This is the code for "Learning Sentiment Memories for Sentiment Modification without Parallel Data".

Primary LanguagePython

SMAE

This is the code for "Learning Sentiment Memories for Sentiment Modification without Parallel Data".

Environment and Dependency

  • Ubuntu 16.04
  • Python 3.5
  • Tensorflow 1.4
  • nltk 3.2.5

Data

yelp

Usage

CUDA_VISIBLE_DEVICES=0 python3 main.py
To run this code, you first need to process the dataset into the specific format. We provide the sample file. During running, several files will be created.

Cite

If you use this code for your research, please cite the following paper:

  @inproceedings{zhang2018learning,  
  author = {Zhang, Yi and Xu, Jingjing and Yang, Pengcheng and Sun, Xu},  
  title = {Learning Sentiment Memories for Sentiment Modification without Parallel Data},  
  booktitle = {EMNLP 2018},  
  year = {2018}  
  }