@inproceedings{ghadery-etal-2021-liir,
title = "{LIIR} at {S}em{E}val-2021 task 6: Detection of Persuasion Techniques In Texts and Images using {CLIP} features",
author = "Ghadery, Erfan and
Sileo, Damien and
Moens, Marie-Francine",
editor = "Palmer, Alexis and
Schneider, Nathan and
Schluter, Natalie and
Emerson, Guy and
Herbelot, Aurelie and
Zhu, Xiaodan",
booktitle = "Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.semeval-1.139/",
doi = "10.18653/v1/2021.semeval-1.139",
pages = "1015--1019",
abstract = "We describe our approach for SemEval-2021 task 6 on detection of persuasion techniques in multimodal content (memes). Our system combines pretrained multimodal models (CLIP) and chained classifiers. Also, we propose to enrich the data by a data augmentation technique. Our submission achieves a rank of 8/16 in terms of F1-micro and 9/16 with F1-macro on the test set."
}
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<abstract>We describe our approach for SemEval-2021 task 6 on detection of persuasion techniques in multimodal content (memes). Our system combines pretrained multimodal models (CLIP) and chained classifiers. Also, we propose to enrich the data by a data augmentation technique. Our submission achieves a rank of 8/16 in terms of F1-micro and 9/16 with F1-macro on the test set.</abstract>
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%0 Conference Proceedings
%T LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features
%A Ghadery, Erfan
%A Sileo, Damien
%A Moens, Marie-Francine
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y Schluter, Natalie
%Y Emerson, Guy
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%S Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F ghadery-etal-2021-liir
%X We describe our approach for SemEval-2021 task 6 on detection of persuasion techniques in multimodal content (memes). Our system combines pretrained multimodal models (CLIP) and chained classifiers. Also, we propose to enrich the data by a data augmentation technique. Our submission achieves a rank of 8/16 in terms of F1-micro and 9/16 with F1-macro on the test set.
%R 10.18653/v1/2021.semeval-1.139
%U https://aclanthology.org/2021.semeval-1.139/
%U https://doi.org/10.18653/v1/2021.semeval-1.139
%P 1015-1019
Markdown (Informal)
[LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features](https://aclanthology.org/2021.semeval-1.139/) (Ghadery et al., SemEval 2021)
ACL