Papers with Persona-chat dataset

1 papers
Personalizing Dialogue Agents via Meta-Learning (P19-1)

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Challenge: Existing personalized dialogue models use human designed persona descriptions to improve dialogue consistency.
Approach: They propose to extend Model-Agnostic Meta-Learning (MAML) to personalized dialogue learning without using persona descriptions.
Outcome: The proposed model outperforms baseline models in terms of human-evaluated fluency and consistency on a persona-chat dataset.

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