Papers with Generating open-domain

1 papers
Neural Stylistic Response Generation with Disentangled Latent Variables (2021.acl-long)

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Challenge: Existing parallel datasets for creating stylistic responses are not stylistically consistent.
Approach: They propose to disentangle the content and style in latent space by diluting sentence-level information in style representations.
Outcome: The proposed approach achieves a higher BERT-based style intensity score and comparable BLEU scores, compared with baselines.

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