Reference : UM6P at SemEval-2023 Task 12: Out-Of-Distribution Generalization Method for African L...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/56060
UM6P at SemEval-2023 Task 12: Out-Of-Distribution Generalization Method for African Languages Sentiment Analysis
English
El Mahdaouy, Abdelkader mailto [> >]
Alami, Hamza mailto [> >]
Lamsiyah, Salima mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)]
Berrada, Ismail mailto [> >]
2023
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
Association for Computational Linguistics
1004--1010
Yes
Toronto, Canada
The 61st Annual Meeting of the Association for Computational Linguistics
9-14 July 2023
[en] This paper presents our submitted system to AfriSenti SemEval-2023 Task 12: Sentiment Analysis for African Languages. The AfriSenti consists of three different tasks, covering monolingual, multilingual, and zero-shot sentiment analysis scenarios for African languages. To improve model generalization, we have explored the following steps: 1) further pre-training of the AfroXLM Pre-trained Language Model (PLM), 2) combining AfroXLM and MARBERT PLMs using a residual layer, and 3) studying the impact of metric learning and two out-of-distribution generalization training objectives. The overall evaluation results show that our system has achieved promising results on several sub-tasks of Task A. For Tasks B and C, our system is ranked among the top six participating systems.
http://hdl.handle.net/10993/56060
10.18653/v1/2023.semeval-1.138
https://aclanthology.org/2023.semeval-1.138

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