VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions

Yuxuan Wang, Zilong Zheng, Xueliang Zhao, Jinpeng Li 0003, Yueqian Wang, Dongyan Zhao 0001. VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. pages 5036-5048, Association for Computational Linguistics, 2023. [doi]

Abstract

Abstract is missing.