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README.md
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# Dataset Card for echr_rational
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### Dataset Summary
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[Deconfounding Legal Judgment Prediction for European Court of Human
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Rights Cases Towards Better Alignment with Experts](https://arxiv.org/pdf/2210.13836.pdf)
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### Languages
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English
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# Citation Information
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@misc{https://doi.org/10.48550/arxiv.2210.13836,
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doi = {10.48550/ARXIV.2210.13836},
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url = {https://arxiv.org/abs/2210.13836},
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author = {Santosh, T. Y. S. S and Xu, Shanshan and Ichim, Oana and Grabmair, Matthias},
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keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
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title = {Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts},
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year = {2022},
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copyright = {Creative Commons Attribution 4.0 International}
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}
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# Dataset Card for echr_rational
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### Dataset Summary
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[Deconfounding Legal Judgment Prediction for European Court of Human
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Rights Cases Towards Better Alignment with Experts](https://arxiv.org/pdf/2210.13836.pdf)
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### Languages
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English
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# Citation Information
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@misc{https://doi.org/10.48550/arxiv.2210.13836,
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doi = {10.48550/ARXIV.2210.13836},
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url = {https://arxiv.org/abs/2210.13836},
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author = {Santosh, T. Y. S. S and Xu, Shanshan and Ichim, Oana and Grabmair, Matthias},
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keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
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title = {Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts},
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publisher = {arXiv},
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year = {2022},
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copyright = {Creative Commons Attribution 4.0 International}
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}
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