Papers with Shared-Cell Long-Short Term Memory SC-LSTM

1 papers
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling (N19-1)

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Challenge: Multi-task learning (MTL) has been studied for sequence labeling tasks . auxiliary tasks are selected specifically to improve performance of a target task .
Approach: They propose a shared-cell long-short-term memory cell which contains shared parameters that can learn from all tasks and task-specific parameters that could learn task-related information.
Outcome: The proposed model can learn from all tasks and task-specific parameters.

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