Publication: UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction
UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction
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Michail, A., Konstantinou, S., & Clematide, S. (2023). UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction. 1021–1029. https://doi.org/10.18653/v1/2023.semeval-1.140
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This paper describes the submission of UZH_CLyp for the SemEval 2023 Task 9 ``Multilingual Tweet Intimacy Analysis. We achieved second-best results in all 10 languages according to the official Pearson's correlation regression evaluation measure. Our cross-lingual transfer learning approach explores the benefits of using a Head-First Fine-Tuning method (HeFiT) that first updates only the regression head parameters and then also updates the pre-trained transformer encoder parameters at a reduced learning rate. Additionally, we study th
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- Michail, Andrianos
- Konstantinou, Stefanos
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Michail, A., Konstantinou, S., & Clematide, S. (2023). UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction. 1021–1029. https://doi.org/10.18653/v1/2023.semeval-1.140
