Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining

October 15, 2023 · The Cartographer · 🏛 Workshop on Argument Mining

"No code URL or promise found in abstract"
"Title-pattern auto-detect: Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining"

Evidence collected by the PWNC Scanner

Authors Zhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane Litman arXiv ID 2310.12172 Category cs.CL: Computation & Language Citations 14 Venue Workshop on Argument Mining Last Checked 10 days ago

Abstract

This paper presents an overview of the ImageArg shared task, the first multimodal Argument Mining shared task co-located with the 10th Workshop on Argument Mining at EMNLP 2023. The shared task comprises two classification subtasks - (1) Subtask-A: Argument Stance Classification; (2) Subtask-B: Image Persuasiveness Classification. The former determines the stance of a tweet containing an image and a piece of text toward a controversial topic (e.g., gun control and abortion). The latter determines whether the image makes the tweet text more persuasive. The shared task received 31 submissions for Subtask-A and 21 submissions for Subtask-B from 9 different teams across 6 countries. The top submission in Subtask-A achieved an F1-score of 0.8647 while the best submission in Subtask-B achieved an F1-score of 0.5561.