Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching

Alissa Ostapenko, Shuly Wintner, Melinda Fricke, Yulia Tsvetkov. Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching. In Smaranda Muresan, Preslav Nakov, Aline Villavicencio, editors, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022. pages 3853-3867, Association for Computational Linguistics, 2022. [doi]

Authors

Alissa Ostapenko

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Shuly Wintner

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Melinda Fricke

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Yulia Tsvetkov

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