UM6P at SemEval-2023 Task 12: Out-Of-Distribution Generalization Method for African Languages Sentiment Analysis
Abdelkader El Mahdaouy, Hamza Alami, Salima Lamsiyah, Ismail Berrada
Abstract
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.- Anthology ID:
- 2023.semeval-1.138
- Volume:
- Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Atul Kr. Ojha, A. Seza Doğruöz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1004–1010
- Language:
- URL:
- https://aclanthology.org/2023.semeval-1.138
- DOI:
- 10.18653/v1/2023.semeval-1.138
- Cite (ACL):
- Abdelkader El Mahdaouy, Hamza Alami, Salima Lamsiyah, and Ismail Berrada. 2023. UM6P at SemEval-2023 Task 12: Out-Of-Distribution Generalization Method for African Languages Sentiment Analysis. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 1004–1010, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- UM6P at SemEval-2023 Task 12: Out-Of-Distribution Generalization Method for African Languages Sentiment Analysis (El Mahdaouy et al., SemEval 2023)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2023.semeval-1.138.pdf