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RecMind: Japanese Movie Recommendation Dialogue with Seeker's Internal State
Feb. 22, 2024, 5:47 a.m. | Takashi Kodama, Hirokazu Kiyomaru, Yin Jou Huang, Sadao Kurohashi
cs.CL updates on arXiv.org arxiv.org
Abstract: Humans pay careful attention to the interlocutor's internal state in dialogues. For example, in recommendation dialogues, we make recommendations while estimating the seeker's internal state, such as his/her level of knowledge and interest. Since there are no existing annotated resources for the analysis, we constructed RecMind, a Japanese movie recommendation dialogue dataset with annotations of the seeker's internal state at the entity level. Each entity has a subjective label annotated by the seeker and an …
abstract analysis arxiv attention cs.cl dialogue example her humans japanese knowledge movie movıe recommendation recommendations resources state type
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