Papers with user-centric system

1 papers
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions (2021.findings-emnlp)

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Challenge: Existing conversational systems are agent-centric, which assumes the user utterances will closely follow the system ontology.
Approach: They build a dataset that maps user preferences to an ontology and model user preferences as estimated distributions over the system ontologies.
Outcome: The proposed system can be used to push existing research from agent-centric to user-centric.

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