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

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

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"Title-pattern auto-detect: Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining"

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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 3 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.