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@@ -65,13 +65,30 @@ This coffee brews up a nice medium roast with exotic floral and berry notes .###
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  If the code or dataset is used in your research, please star our repo and cite our paper as follows:
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  ```
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- @misc{wu2025mabsa,
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- title={M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis},
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- author={Chengyan Wu and Bolei Ma and Yihong Liu and Zheyu Zhang and Ningyuan Deng and Yanshu Li and Baolan Chen and Yi Zhang and Yun Xue and Barbara Plank},
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- year={2025},
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- eprint={2502.11824},
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- archivePrefix={arXiv},
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- primaryClass={cs.CL},
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- url={https://arxiv.org/abs/2502.11824},
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ```
 
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  If the code or dataset is used in your research, please star our repo and cite our paper as follows:
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  ```
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+ @inproceedings{wu-etal-2025-absa,
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+ title = "{M}-{ABSA}: A Multilingual Dataset for Aspect-Based Sentiment Analysis",
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+ author = "Wu, ChengYan and
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+ Ma, Bolei and
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+ Liu, Yihong and
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+ Zhang, Zheyu and
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+ Deng, Ningyuan and
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+ Li, Yanshu and
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+ Chen, Baolan and
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+ Zhang, Yi and
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+ Xue, Yun and
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+ Plank, Barbara",
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+ editor = "Christodoulopoulos, Christos and
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+ Chakraborty, Tanmoy and
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+ Rose, Carolyn and
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+ Peng, Violet",
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+ booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
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+ month = nov,
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+ year = "2025",
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+ address = "Suzhou, China",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2025.emnlp-main.128/",
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+ doi = "10.18653/v1/2025.emnlp-main.128",
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+ pages = "2530--2557",
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+ ISBN = "979-8-89176-332-6",
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  }
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  ```