@inproceedings{zhang-etal-2023-split,
title = "{SPLIT}: Stance and Persuasion Prediction with Multi-modal on Image and Textual Information",
author = "Zhang, Jing and
Yu, Shaojun and
Li, Xuan and
Geng, Jia and
Zheng, Zhiyuan and
Ho, Joyce",
editor = "Alshomary, Milad and
Chen, Chung-Chi and
Muresan, Smaranda and
Park, Joonsuk and
Romberg, Julia",
booktitle = "Proceedings of the 10th Workshop on Argument Mining",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.argmining-1.19",
doi = "10.18653/v1/2023.argmining-1.19",
pages = "175--180",
abstract = "Persuasiveness is a prominent personality trait that measures the extent to which a speaker can impact the beliefs, attitudes, intentions, motivations, and actions of their audience. The ImageArg task is a featured challenge at the 10th ArgMining Workshop during EMNLP 2023, focusing on harnessing the potential of the ImageArg dataset to advance techniques in multimodal persuasion. In this study, we investigate the utilization of dual-modality datasets and evaluate three distinct multi-modality models. By enhancing multi-modality datasets, we demonstrate both the advantages and constraints of cutting-edge models.",
}
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<abstract>Persuasiveness is a prominent personality trait that measures the extent to which a speaker can impact the beliefs, attitudes, intentions, motivations, and actions of their audience. The ImageArg task is a featured challenge at the 10th ArgMining Workshop during EMNLP 2023, focusing on harnessing the potential of the ImageArg dataset to advance techniques in multimodal persuasion. In this study, we investigate the utilization of dual-modality datasets and evaluate three distinct multi-modality models. By enhancing multi-modality datasets, we demonstrate both the advantages and constraints of cutting-edge models.</abstract>
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%0 Conference Proceedings
%T SPLIT: Stance and Persuasion Prediction with Multi-modal on Image and Textual Information
%A Zhang, Jing
%A Yu, Shaojun
%A Li, Xuan
%A Geng, Jia
%A Zheng, Zhiyuan
%A Ho, Joyce
%Y Alshomary, Milad
%Y Chen, Chung-Chi
%Y Muresan, Smaranda
%Y Park, Joonsuk
%Y Romberg, Julia
%S Proceedings of the 10th Workshop on Argument Mining
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F zhang-etal-2023-split
%X Persuasiveness is a prominent personality trait that measures the extent to which a speaker can impact the beliefs, attitudes, intentions, motivations, and actions of their audience. The ImageArg task is a featured challenge at the 10th ArgMining Workshop during EMNLP 2023, focusing on harnessing the potential of the ImageArg dataset to advance techniques in multimodal persuasion. In this study, we investigate the utilization of dual-modality datasets and evaluate three distinct multi-modality models. By enhancing multi-modality datasets, we demonstrate both the advantages and constraints of cutting-edge models.
%R 10.18653/v1/2023.argmining-1.19
%U https://aclanthology.org/2023.argmining-1.19
%U https://doi.org/10.18653/v1/2023.argmining-1.19
%P 175-180
Markdown (Informal)
[SPLIT: Stance and Persuasion Prediction with Multi-modal on Image and Textual Information](https://aclanthology.org/2023.argmining-1.19) (Zhang et al., ArgMining-WS 2023)
ACL