Papers with statistical re-weighting method

1 papers
Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method (D18-1)

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Challenge: Experimental results show that Sequence-to-sequence models tend to generate generic/dull responses .
Approach: They propose a statistical re-weighting method that assigns different weights for multiple responses of the same query.
Outcome: The proposed method improves acceptance rate of generated responses and significantly reduces generated generic responses.

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