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Visually Grounded Commonsense Knowledge Acquisition. (arXiv:2211.12054v1 [cs.CV])
Nov. 23, 2022, 2:15 a.m. | Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Haitao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun
cs.CV updates on arXiv.org arxiv.org
Large-scale commonsense knowledge bases empower a broad range of AI
applications, where the automatic extraction of commonsense knowledge (CKE) is
a fundamental and challenging problem. CKE from text is known for suffering
from the inherent sparsity and reporting bias of commonsense in text. Visual
perception, on the other hand, contains rich commonsense knowledge about
real-world entities, e.g., (person, can_hold, bottle), which can serve as
promising sources for acquiring grounded commonsense knowledge. In this work,
we present CLEVER, which formulates CKE …
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