CL-XABSA

This repo contains the data and code for our paper CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis.

Requirements

• torch==1.3.1
• numpy==1.19.4
• transformers==3.4.0 (You can also use the static version in this repo)
• sentencepiece==0.1.91
• tokenizer==0.9.2
• sacremoses==0.0.43

Citation

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

@ARTICLE{10190176,
  author={Lin, Nankai and Fu, Yingwen and Lin, Xiaotian and Zhou, Dong and Yang, Aimin and Jiang, Shengyi},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, 
  title={CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis}, 
  year={2023},
  volume={},
  number={},
  pages={1-12},
  doi={10.1109/TASLP.2023.3297964}}

​

Reference

The code of XABSA.