Papers by Abigail See

1 papers
What makes a good conversation? How controllable attributes affect human judgments (N19-1)

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Challenge: Existing work on dialogue models for conversational quality is incompletely understanding the relationship between quality and individual attributes.
Approach: They propose to use conditional training and weighted decoding to control four attributes for chit-chat dialogue: repetition, specificity, response-relatedness and question-asking.
Outcome: The proposed methods improve human quality judgments by controlling combinations of these variables.

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