Muhammad, SH;
Abdulmumin, I;
Yimam, SM;
Adelani, DI;
Ahmad, IS;
Ousidhoum, N;
Ayele, AA;
... Ruder, S; + view all
(2023)
SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval).
In:
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023).
(pp. pp. 2319-2337).
Association for Computational Linguistics
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Abstract
We present the first Africentric SemEval Shared task, Sentiment Analysis for African Languages (AfriSenti-SemEval)1. AfriSenti-SemEval is a sentiment classification challenge in 14 African languages (Amharic, Algerian Arabic, Hausa, Igbo, Kinyarwanda, Moroccan Arabic, Mozambican Portuguese, Nigerian Pidgin, Oromo, Swahili, Tigrinya, Twi, Xitsonga, and Yorùbá) (Muhammad et al., 2023), using data labeled with 3 sentiment classes. We present three subtasks: (1) Task A: monolingual classification, which received 44 submissions; (2) Task B: multilingual classification, which received 32 submissions; and (3) Task C: zero-shot classification, which received 34 submissions. The best performance for tasks A and B was achieved by NLNDE team with 71.31 and 75.06 weighted F1, respectively. UCASIIE-NLP achieved the best average score for task C with 58.15 weighted F1. We describe the various approaches adopted by the top 10 systems and their approaches.
| Type: | Proceedings paper |
|---|---|
| Title: | SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval) |
| ISBN-13: | 9781959429999 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.18653/v1/2023.semeval-1.315 |
| Publisher version: | http://dx.doi.org/10.18653/v1/2023.semeval-1.315 |
| Language: | English |
| Additional information: | © 2023 ACL; Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10182271 |
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