Paper published in a book (Scientific congresses, symposiums and conference proceedings)
UL \& UM6P at SemEval-2023 Task 10: Semi-Supervised Multi-task Learning for Explainable Detection of Online Sexism
LAMSIYAH, Salima; El Mahdaouy, Abdelkader; Alami, Hamza et al.
2023In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
Peer reviewed
 

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Abstract :
[en] This paper introduces our participating system to the Explainable Detection of Online Sexism (EDOS) SemEval-2023 - Task 10: Explainable Detection of Online Sexism. The EDOS shared task covers three hierarchical sub-tasks for sexism detection, coarse-grained and fine-grained categorization. We have investigated both single-task and multi-task learning based on RoBERTa transformer-based language models. For improving the results, we have performed further pre-training of RoBERTa on the provided unlabeled data. Besides, we have employed a small sample of the unlabeled data for semi-supervised learning using the minimum class-confusion loss. Our system has achieved macro F1 scores of 82.25\textbackslash\%, 67.35\textbackslash\%, and 49.8\textbackslash\% on Tasks A, B, and C, respectively.
Disciplines :
Computer science
Author, co-author :
LAMSIYAH, Salima  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
El Mahdaouy, Abdelkader
Alami, Hamza
Berrada, Ismail
SCHOMMER, Christoph  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
yes
Language :
English
Title :
UL \& UM6P at SemEval-2023 Task 10: Semi-Supervised Multi-task Learning for Explainable Detection of Online Sexism
Publication date :
2023
Event name :
The 61st Annual Meeting of the Association for Computational Linguistics
Event date :
9-14 July 2023
Main work title :
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
Publisher :
Association for Computational Linguistics, Toronto, Canada, Unknown/unspecified
Pages :
644--650
Peer reviewed :
Peer reviewed
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since 16 September 2023

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