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• W2251074483 abstract "We describe our systems for the WMT14 Shared Task on Quality Estimation (subtasks 1.1, 1.2 and 1.3). Our submissions use the framework of Multi-task Gaussian Processes, where we combine multiple datasets in a multi-task setting. Due to the large size of our datasets we also experiment with Sparse Gaussian Processes, which aim to speed up training and prediction by providing sensible sparse approximations." @default.
• W2251074483 created "2016-06-24" @default.
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• W2251074483 date "2014-01-01" @default.
• W2251074483 modified "2023-09-26" @default.
• W2251074483 title "SHEF-Lite 2.0: Sparse Multi-task Gaussian Processes for Translation Quality Estimation" @default.
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• W2251074483 doi "https://doi.org/10.3115/v1/w14-3338" @default.
• W2251074483 hasPublicationYear "2014" @default.
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