Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues

Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Zhongyu Wei, Weidong Zhan, Baobao Chang, Sujian Li, Tianyu Liu, Zhifang Sui


Abstract
It is a common practice for recent works in vision language cross-modal reasoning to adopt a binary or multi-choice classification formulation taking as input a set of source image(s) and textual query. In this work, we take a sober look at such an “unconditional” formulation in the sense that no prior knowledge is specified with respect to the source image(s). Inspired by the designs of both visual commonsense reasoning and natural language inference tasks, we propose a new task termed “Premise-based Multi-modal Reasoning” (PMR) where a textual premise is the background presumption on each source image.The PMR dataset contains 15,360 manually annotated samples which are created by a multi-phase crowd-sourcing process. With selected high-quality movie screenshots and human-curated premise templates from 6 pre-defined categories, we ask crowd-source workers to write one true hypothesis and three distractors (4 choices) given the premise and image through a cross-check procedure.
Anthology ID:
2022.acl-long.66
Volume:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
May
Year:
2022
Address:
Dublin, Ireland
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
932–946
Language:
URL:
https://aclanthology.org/2022.acl-long.66
DOI:
10.18653/v1/2022.acl-long.66
Bibkey:
Cite (ACL):
Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Zhongyu Wei, Weidong Zhan, Baobao Chang, Sujian Li, Tianyu Liu, and Zhifang Sui. 2022. Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 932–946, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues (Dong et al., ACL 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.acl-long.66.pdf
Data
SNLI-VEVCRVisual Question Answering