MSMO

This repo contains the data and code for our paper Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis.

Requirements

• torch==1.3.1
• numpy==1.19.4
• transformers==3.4.0
• sentencepiece==0.1.91
• tokenizer==0.9.2
• sacremoses==0.0.43

Quick Start

• Download the data and place it in the data/ folder.
• Download the pre-trained multilingual language model mBERT or XLM-R
• To quickly reproduce the results you can run the following setting:

bash run_absa.sh 

Usage

To run experiments under different settings, change the exp_type setting:

• supervised refers to the supervised setting
• macs_kd: multilingual distillation

Citation

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

@misc{wu2025multi,
      title={Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis}, 
      author={Chengyan Wu and Bolei Ma and Ningyuan Deng and Yanqing He and Yun Xue},
      year={2025},
      eprint={2502.13718},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2502.13718}, 
}