Visual Story Post-Editing

ACL 2019 Ting-Yao HsuChieh-Yang HuangYen-Chia HsuTing-Hao 'Kenneth' Huang

We introduce the first dataset for human edits of machine-generated visual stories and explore how these collected edits may be used for the visual story post-editing task. The dataset, VIST-Edit, includes 14,905 human edited versions of 2,981 machine-generated visual stories... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.