Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer (2023.findings-emnlp)
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| Challenge: | Existing studies explore performing text style transfer on attributes like age, gender, formality, politeness, and formality. |
| Approach: | They propose a framework that freezes the pre-trained model’s original parameters and enables the development of a multiple-attribute text style transfer model. |
| Outcome: | The proposed model outperforms state-of-the-art models on sentiment transfer and multiple-attribute transfer tasks with significantly less computational resources. |
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