SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification-Reference-Cited by-同舟云学术

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SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification

Published:2022 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
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Author:

Fersini Elisabetta,Gasparini Francesca,Rizzi Giulia,Saibene Aurora,Chulvi Berta,Rosso Paolo,Lees Alyssa,Sorensen Jeffrey

Publisher

Association for Computational Linguistics

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Let's All Laugh Together: A Novel Multitask Framework for Humor Detection in Internet Memes;IEEE Transactions on Computational Social Systems;2024-06

2. AISG's Online Safety Prize Challenge: Detecting Harmful Social Bias in Multimodal Memes;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

3. Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

4. Contextualizing Internet Memes Across Social Media Platforms;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

5. Understanding (Dark) Humour with Internet Meme Analysis;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

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