Papers with self-supervised learning task

1 papers
Self-Supervised Dialogue Learning (P19-1)

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Challenge: Existing dialogue systems have failed to capture the order of utterances in coherent dialogues.
Approach: They propose a self-supervised learning task to capture the flow of dialogues . they propose 'inconsistent order detection' task to predict whether utterance is ordered or misordered .
Outcome: The proposed methods can be applied to open-domain and task-oriented dialogue scenarios and achieve state-of-the-art performance on the OpenSubtitiles and Movie-Ticket Booking datasets.

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