@inproceedings{cordon-etal-2022-i2c,
title = "{I}2{C} at {S}em{E}val-2022 Task 5: Identification of misogyny in internet memes",
author = "Cordon, Pablo and
Gonzalez Diaz, Pablo and
Mata, Jacinto and
Pach{\'o}n, Victoria",
editor = "Emerson, Guy and
Schluter, Natalie and
Stanovsky, Gabriel and
Kumar, Ritesh and
Palmer, Alexis and
Schneider, Nathan and
Singh, Siddharth and
Ratan, Shyam",
booktitle = "Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)",
month = jul,
year = "2022",
address = "Seattle, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.semeval-1.94",
doi = "10.18653/v1/2022.semeval-1.94",
pages = "689--694",
abstract = "In this paper we present our approach and system description on Task 5 A in MAMI: Multimedia Automatic Misogyny Identification. In our experiments we compared several architectures based on deep learning algorithms with various other approaches to binary classification using Transformers, combined with a nudity image detection algorithm to provide better results. With this approach, we achieved an F1-score of 0.665 in the evaluation process",
}
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%0 Conference Proceedings
%T I2C at SemEval-2022 Task 5: Identification of misogyny in internet memes
%A Cordon, Pablo
%A Gonzalez Diaz, Pablo
%A Mata, Jacinto
%A Pachón, Victoria
%Y Emerson, Guy
%Y Schluter, Natalie
%Y Stanovsky, Gabriel
%Y Kumar, Ritesh
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y Singh, Siddharth
%Y Ratan, Shyam
%S Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, United States
%F cordon-etal-2022-i2c
%X In this paper we present our approach and system description on Task 5 A in MAMI: Multimedia Automatic Misogyny Identification. In our experiments we compared several architectures based on deep learning algorithms with various other approaches to binary classification using Transformers, combined with a nudity image detection algorithm to provide better results. With this approach, we achieved an F1-score of 0.665 in the evaluation process
%R 10.18653/v1/2022.semeval-1.94
%U https://aclanthology.org/2022.semeval-1.94
%U https://doi.org/10.18653/v1/2022.semeval-1.94
%P 689-694
Markdown (Informal)
[I2C at SemEval-2022 Task 5: Identification of misogyny in internet memes](https://aclanthology.org/2022.semeval-1.94) (Cordon et al., SemEval 2022)
ACL