Papers with unsupervised pretraining objectives

1 papers
Pretraining Methods for Dialog Context Representation Learning (P19-1)

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Challenge: Existing methods for pretraining dialog context encoders are still in their infancy.
Approach: They propose to use unsupervised pretraining objectives for dialog context representations to fine-tune and evaluate them on a set of downstream dialog tasks.
Outcome: The proposed methods improve performance on a set of dialog tasks and are less data hungry.

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