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README.md
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@@ -154,13 +154,13 @@ The official code and materials for this submission are available on GitHub:
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If you find our work helpful or inspiring, please feel free to cite it:
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```bibtex
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@misc{
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title={AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles},
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author={
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year={
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eprint={2507.11764},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2507.11764},
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}
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```
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If you find our work helpful or inspiring, please feel free to cite it:
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```bibtex
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@misc{fasulo2025aiwizardscheckthat2025,
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title={AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles},
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author={Matteo Fasulo and Luca Babboni and Luca Tedeschini},
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year={2025},
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eprint={2507.11764},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2507.11764},
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}
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```
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