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SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling

Eileen Wang, Caren Han, Josiah Poon


Abstract
Visual storytelling aims to automatically generate a coherent story based on a given image sequence. Unlike tasks like image captioning, visual stories should contain factual descriptions, worldviews, and human social commonsense to put disjointed elements together to form a coherent and engaging human-writeable story. However, most models mainly focus on applying factual information and using taxonomic/lexical external knowledge when attempting to create stories. This paper introduces SCO-VIST, a framework representing the image sequence as a graph with objects and relations that includes human action motivation and its social interaction commonsense knowledge. SCO-VIST then takes this graph representing plot points and creates bridges between plot points with semantic and occurrence-based edge weights. This weighted story graph produces the storyline in a sequence of events using Floyd-Warshall’s algorithm. Our proposed framework produces stories superior across multiple metrics in terms of visual grounding, coherence, diversity, and humanness, per both automatic and human evaluations.
Anthology ID:
2024.eacl-long.96
Volume:
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
March
Year:
2024
Address:
St. Julian’s, Malta
Editors:
Yvette Graham, Matthew Purver
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1602–1616
Language:
URL:
https://aclanthology.org/2024.eacl-long.96
DOI:
Bibkey:
Cite (ACL):
Eileen Wang, Caren Han, and Josiah Poon. 2024. SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1602–1616, St. Julian’s, Malta. Association for Computational Linguistics.
Cite (Informal):
SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling (Wang et al., EACL 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.eacl-long.96.pdf
Video:
 https://aclanthology.org/2024.eacl-long.96.mp4