zhoudayang / tnet

Transformation Networks for Target-Oriented Sentiment Classification (ACL 2018)

TNet

Transformation Networks for Target-Oriented Sentiment Classification. (Currently, code is only available upon request)

Requirements

• Python 3.6
• Theano 0.9.0
• numpy 1.13.1
• pygpu 0.6.9
• GloVe.840B.300d

Running

THEANO_FLAGS="device=cuda0, optimizer=fast_compile" python main.py -ds_name [YOUR_DATASET_NAME] -connection_type [AS|LF]

Environment

• OS: REHL Server 6.4 (Santiago)
• GPU: NVIDIA GTX 1080
• CUDA: 9.2
• cuDNN: v7.1.4

Citation

If the code is used in your research, please star our repo and cite our paper as follows:

@inproceedings{li2018transformation,
  title={Transformation Networks for Target-Oriented Sentiment Classification},
  author={Li, Xin and Bing, Lidong and Lam, Wai and Shi, Bei},
  booktitle={ACL},
  pages={946--956},
  year={2018}
}