Auxiliary Objectives for Neural Error Detection Models Auxiliary Objectives for Neural Error Detection Models
Paper summary Investigating a range of auxiliary objectives for training a sequence labeling system for error detection. Automatically generated dependency relations and POS tags perform surprisingly well as gold labels for multi-task learning. Learning different objectives at the same time works better than doing them in sequence or switching. https://i.imgur.com/81PvMfj.png

Summary by Marek Rei 8 months ago
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