Enhancing aspect-based sentiment analysis using data augmentation based on back-translation
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41060-024-00622-w.pdf
Reference58 articles.
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4. Liesting, T., Frasincar, F., Truşcă, M.M.: Data augmentation in a hybrid approach for aspect-based sentiment analysis. In: Proceedings of the 36th Annual ACM Symposium on Applied Computing. SAC ’21, pp. 828–835. Association for Computing Machinery, New York, NY, USA (2021). https://doi.org/10.1145/3412841.3441958
5. Deng, Y., Zhang, W., Pan, S.J., Bing, L.: Bidirectional generative framework for cross-domain aspect-based sentiment analysis. arXiv preprint arXiv:2305.09509 (2023)
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