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Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering
We work on a recommendation dialogue system to help a user understand the appealing points of some target (e.g., a movie). In such dialogues, the recommendation system needs to utilize structured external knowledge to make informative and detailed recommendations. However, there is no dialogue dataset with structured external knowledge designed to make detailed recommendations for the target. Therefore, we construct a dialogue dataset, Japanese Movie Recommendation Dialogue (JMRD), in which thedoi:10.18653/v1/2022.dialdoc-1.9 fatcat:tvmfwbgdejf6rhgtnenszt7vy4