Findings of the Association for Computational Linguistics: EMNLP 2021 2021
DOI: 10.18653/v1/2021.findings-emnlp.337
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NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions

Abstract: Existing conversational systems are mostly agent-centric, which assumes the user utterances will closely follow the system ontology. However, in real-world scenarios, it is highly desirable that users can speak freely and naturally. In this work, we attempt to build a usercentric dialogue system for conversational recommendation. As there is no clean mapping for a user's free form utterance to an ontology, we first model the user preferences as estimated distributions over the system ontology and map the user'… Show more

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