March 27, 2024, 4:48 a.m. | Atsumoto Ohashi, Ryu Hirai, Shinya Iizuka, Ryuichiro Higashinaka

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.17319v1 Announce Type: new
Abstract: Dialogue datasets are crucial for deep learning-based task-oriented dialogue system research. While numerous English language multi-domain task-oriented dialogue datasets have been developed and contributed to significant advancements in task-oriented dialogue systems, such a dataset does not exist in Japanese, and research in this area is limited compared to that in English. In this study, towards the advancement of research and development of task-oriented dialogue systems in Japanese, we constructed JMultiWOZ, the first Japanese language large-scale …

abstract arxiv contributed cs.ai cs.cl dataset datasets deep learning dialogue domain english english language japanese language research scale systems type

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