WOAH 5共享任务在细粒度仇恨模因检测中的发现

Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021) Pub Date : 1900-01-01 DOI:10.18653/v1/2021.woah-1.21

Lambert Mathias, Shaoliang Nie, Aida Mostafazadeh Davani, Douwe Kiela, Vinodkumar Prabhakaran, Bertie Vidgen, Zeerak Talat

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引用次数: 12

摘要

我们介绍了WOAH 5关于仇恨模因检测的共享任务的结果和主要发现。该任务包括两个子任务，它们与细粒度检测仇恨模因的不同挑战有关:(1)被模因攻击的受保护类别和(2)攻击类型。3个小组提交了系统描述论文。这项共享任务建立在2020年Facebook人工智能研究创建的仇恨表情包检测任务的基础上。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection

We present the results and main findings of the shared task at WOAH 5 on hateful memes detection. The task include two subtasks relating to distinct challenges in the fine-grained detection of hateful memes: (1) the protected category attacked by the meme and (2) the attack type. 3 teams submitted system description papers. This shared task builds on the hateful memes detection task created by Facebook AI Research in 2020.

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Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)

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